Leadership matters in crisis-induced digital transformation: how to lead service employees effectively during the COVID-19 pandemic

Purpose

The COVID-19 pandemic has, besides the health concerns, caused an unprecedented social and economic crisis that has particularly hit service industries hard. Due to extensive safety measures, many service employees have to work remotely to keep service businesses running. With limited literature on leadership and virtual work in the service context, this paper aims to report on leadership effectiveness regarding employees' work performance in virtual settings brought on by the COVID-19 pandemic.

Design/methodology/approach

Drawing on the input–process–outcome (IPO) framework, this research investigates the effectiveness of leadership on service employees' work performance mediated by work-related tension, autonomy, and group cohesiveness. Furthermore, this study explores moderating effects of the service provider's digital maturity. To test the derived model, the authors collected survey data from 206 service employees who, due to the COVID-19 pandemic, unexpectedly had to transform to a virtual work environment. The authors analyzed the data using partial least squares structural equation modeling (PLS-SEM).

Findings

The results indicated that it took task- and relation-oriented leadership behavior to maintain service employees' work performance in a virtual environment during crisis situations. Further, results indicated mediating effects of service employees' individual job autonomy and team cohesiveness; surprisingly, work-related tension did not impact employees' work performance. Results offered service businesses guidance on how to effectively lead in times of crisis when service employees predominantly work in virtual environments.

Originality/value

This is the first empirical study to show how leadership affects service employees' work performance in a virtual work environment during crisis times. Thus, the study contributes to the scarce literature on the impact of leadership in service firms that have to operate in such a setting.

Technostress at work and mental health: concepts and research results

PURPOSE OF REVIEW

The ongoing digitalization has profound consequences for work in modern economies. It is, therefore, important to investigate if digital technologies increase stress at work (i.e. 'technostress') and lead to impaired mental health. This article describes the concept of technostress and discusses possible risks and opportunities of digital technologies at work and their effect on mental health.

RECENT FINDINGS

Studies report that the use of digital technologies is associated with specific psychosocial demands (e.g. higher workload, complexity, conflicts between work and other life domains) and resulting psychobiological stress reactions. It is, however, still unclear if this kind of technostress causes mental disorders because epidemiological studies are missing. Yet, an increasing number of studies suggests that well designed digital work may promote good health if it optimizes work organization or enables greater flexibility, and increases control and autonomy at work.

SUMMARY

Digitalization of work seems to have both opportunities and risks for the mental health of employees. The number of studies is currently limited and further research is necessary to describe the advantages and disadvantages more precisely.

The Effects of Technological Developments on Work and Their Implications for Continuous Vocational Education and Training: A Systematic Review

Technology is changing the way organizations and their employees need to accomplish their work. Empirical evidence on this topic is scarce. The aim of this study is to provide an overview of the effects of technological developments on work characteristics and to derive the implications for work demands and continuous vocational education and training (CVET). The following research questions are answered: What are the effects of new technologies on work characteristics? What are the implications thereof for continuous vocational education and training? Technologies, defined as digital, electrical or mechanical tools that affect the accomplishment of work tasks, are considered in various disciplines, such as sociology or psychology. A theoretical framework based on theories from these disciplines (e.g., upskilling, task-based approach) was developed and statements on the relationships between technology and work characteristics, such as complexity, autonomy, or meaningfulness, were derived. A systematic literature review was conducted by searching databases from the fields of psychology, sociology, economics and educational science. Twenty-one studies met the inclusion criteria. Empirical evidence was extracted and its implications for work demands and CVET were derived by using a model that illustrates the components of learning environments. Evidence indicates an increase in complexity and mental work, especially while working with automated systems and robots. Manual work is reported to decrease on many occasions. Workload and workflow interruptions increase simultaneously with autonomy, especially with regard to digital communication devices. Role expectations and opportunities for development depend on how the profession and the technology relate to each other, especially when working with automated systems. The implications for the work demands necessary to deal with changes in work characteristics include knowledge about technology, openness toward change and technology, skills for self- and time management and for further professional and career development. Implications for the design of formal learning environments (i.e., the content, method, assessment, and guidance) include that the work demands mentioned must be part of the content of the trainings, the teachers/trainers must be equipped to promote those work demands, and that instruction models used for the learning environments must be flexible in their application.

Digital Media: Empowerment and Equality

This study investigated the use of digital media, specifically social media technologies, in the workplace in Taiwan. The data for this study were collected through an online survey. Participants responded to questions asking whether social technologies could be a source of empowerment, leading to equality. Respondents included female and male employees. The findings reveal that both genders use social technology platforms for business support, experience benefits, and believe that these technologies could provide empowerment for success. Detailed results are reported in this paper, including a comparative analysis. The differences between women and men using Facebook and YouTube were significant. Women in Taiwan have a higher awareness of the benefits of social technologies, specifically Facebook, when used for business support and empowerment. This paper reveals a comparison between the attitudes of women and men when using social technologies and investigates the realization of the economic empowerment component.

The Promotion of Technology Acceptance and Work Engagement in Industry 4.0: From Personal Resources to Information and Training

Thanks to the rapid advances of technology, we are currently experiencing the fourth industrial revolution, which is introducing several changes in how organizations operate and how people learn and do their work. Many questions arise within this framework about how these transformations may affect workers' wellbeing, and the Work and Organizational Psychology is called upon to address these open issues. This study aims to investigate personal and organizational antecedents (resilience, goal orientation and opportunities for information and training) and one consequence (work engagement) of technology acceptance within factories, comparing white- and blue-collar workers. The study involved a sample of 598 workers (white-collar = 220, blue-collar = 378) employed at an Italian company who filled in a self-report questionnaire. In both samples, the multi-group structural equation model showed a positive relationship between resilience, opportunities for information and training, and technology acceptance, which in turn showed a positive association with work engagement. All indirect effects were significant. This study investigated the motivational dynamics related to the introduction of new technologies within factories involving the little-studied population of blue-collar workers. Results highlighted the importance of providing information and opportunities for training to all employees, in order to support Industry 4.0 transformations without impacting on workers' motivation.

Work-Family Conflict Impact on Psychological Safety and Psychological Well-Being: A Job Performance Model

In a modern working environment characterized by new technology and work assignments extended to personal time, employees are expected to balance multiple roles while maintaining maximum productivity. Past studies analyzed work-family conflict and its connection to job performance, without adequate integration of psychological factors into the research model. This study aims to fill the gap and explain the impact of work-family conflict and psychological factors on job performance. To explore the association between work-family conflict and job performance and measure the effects on psychological safety and psychological well-being, an empirical study was conducted on a sample of 277 company employees in Bahrain. The online questionnaire used five-point Likert-scales adopted from previous studies to measure the variables of the research model. In the structural model, relationships between work-family conflict, psychological well-being, psychological safety, and job performance were tested. Confirmatory Factor Analysis with Maximum likelihood estimation was performed by using SEM software AMOS version 23. The findings of the study suggest there is a negative impact of work-family conflict on psychological safety and psychological well-being. This study is significant since it detaches from the prior researches focused on observing the repercussions of work-family conflict in workers' well-being, and centers on the analysis of job performance instead. The findings show that psychological well-being and psychological safety influence job performance. When psychological well-being and psychological safety of employees are unsatisfactory, job performance will decrease accordingly. The mediation test indicated that work-family conflict had an indirect influence on job performance when psychological safety and psychological well-being were mediators. The study contributes to a better understanding of work-family conflict, psychology of employees, and job performance. The study provides valuable insight to organizations on ways to increase employees' effectiveness and ensure better performance by preventing work-family conflict from occurring.

Measuring the effectiveness of digital nursing technologies: development of a comprehensive digital nursing technology outcome framework based on a scoping review

BACKGROUND

Digital nursing technologies (DNT) comprise an expanding, highly diverse field of research, explored using a wide variety of methods and tools. Study results are therefore difficult to compare, which raises the question how effectiveness of DNT can be adequately measured. Methods currently used might not be sufficient for certain specific nursing contexts. A comprehensive outcome framework that shows the multitude of possible outcome areas could be useful to generate more comparable results. The aim of the present study is to develop an outcome framework for DNT and to indicate which outcome areas have been most frequently evaluated in previous studies and how this has been done.

METHODS

We combined an inductive and deductive approach to develop the framework. The numerical analysis is based on a scoping review focussing on the effectiveness of DNT for persons in need of care, formal or informal caregivers or care institutions. Nine databases were included in the screening: Medline, Scopus, CINAHL, Cochrane Library, ACM Digital Library, IEEE Xplore, the Collection of Computer Science Bibliographies, GeroLit and CareLit. Additional literature searches and expert interviews were included.

RESULTS

The developed framework comprises four outcome target groups and 47 outcome areas. There are considerable differences in the researched outcome areas for the individual outcome target groups. Persons in need of care were by far the most frequently surveyed, particularly with respect to their psychological health. There are much fewer studies on formal and informal caregivers, and it is particularly noticeable that the quality of life of both groups has rarely been investigated. Care process quality was most frequently researched for organisations.

CONCLUSION

We were able to provide a comprehensive DNT outcome framework, thereby identifying the outcome tools used and the less researched outcome areas. We recommend a detailed investigation of all areas and tools in future research projects with a view to initiating a discussion on the differing importance of existing outcome areas and on a standardisation of outcome tools. We also recommend the development of outcome areas for the macro level of effectiveness assessment.

Anwendungsszenarien und Technologiebewertung von digitalen Werkerassistenzsystemen in der Produktion – Ergebnisse einer Interview-Studie mit Experten aus der Wissenschaft, der Politik und der betrieblichen Praxis

Die Einführung neuer digitaler Technologien wie digitale Werkerassistenzsysteme (z. B. Datenbrillen und Tablets) im Produktionsbereich führen zu Veränderungen der Arbeitswelt. Bestehende Modelle der Arbeitsgestaltung betrachten Technologien als Antezedenzien für die Arbeitsgestaltung. Die Theorie der sozialen Gestaltung von Technologien nimmt an, dass unterschiedliche Akteure Einfluss auf die Gestaltung und Verbreitung von Technologien im betrieblichen Kontext nehmen. Bisher ist kaum bekannt, welche Erwartungen unterschiedliche Akteure an die Anwendung und Gestaltung digitaler Werkerassistenzsysteme stellen. Ziel dieses Beitrags der Zeitschrift Gruppe. Interaktion. Organisation. (GIO) ist es, die Sichtweisen relevanter Akteure im Technologieentwicklungsprozess zu erfassen und basierende darauf Handlungs- und Gestaltungsempfehlungen für den Einsatz digitaler Werkerassistenzsysteme in der betrieblichen Praxis zu geben. Hierfür wurden 76 halbstrukturierte Interviews mit Wissenschaftlern, politischen Akteuren und betrieblichen Praktikern durchgeführt und inhaltsanalytisch ausgewertet. Als Ergebnis dieser Studie ist ein Kategoriensystem für die Einteilung von Anwendungsmöglichkeiten digitaler Werkerassistenzsysteme in der Produktion entstanden, das einen Ausgangspunkt für betriebliche Entscheidungsprozesse bei der Technologieeinführung darstellen kann. Die identifizierten Chancen und Risiken beim Einsatz von digitalen Werkerassistenzsystemen stellen Ansatzpunkte für die Technologiegestaltung und die Technologieimplementierung im Unternehmen bereit.

Emerging Issues in Occupational Disease: Mental Health in the Aging Working Population and Cognitive Impairment-A Narrative Review

Cognitive impairment has often been reported in scientific literature as a concern derived from chronic exposure to work-related stress. Organizational factors can contribute to the onset of this concern especially in a susceptible population such as elderly workers. The aim of our study was to review the last five years of scientific literature, focusing on experimental and epidemiological studies, possible mechanisms implicated in the onset of cognitive decline due to work-related stress, and the recent organizational strategies to prevent detrimental effects of stress on cognitive processes. A literature search was performed in scientific platforms Medline and Web of Science, by means of specific string search terms, restricting the search to the years of publication 2014-2019. Thirty-three articles were identified and qualitatively evaluated, reporting narratively the main point of interest. At this stage, six articles were excluded because they did not meet the inclusion criteria. Only a few articles considered the population of the elderly workers, often with a short follow-up period. Strategies to manage stress with organizational procedures are scarce. Mechanisms implicated in the development of cognitive impairment due to stress are not fully explained and seem to include a chronical decrease in the inhibitory process of neurological pathways. Further research that focused on strategies to manage stress in elderly workers, with the aim of preventing cognitive impairment processes, is warranted.

Can Teamwork Promote Safety in Organizations?

In this review, we conceptualize teamwork as the linchpin driving safety performance throughout an organization. Safety is promoted by teams through various mechanisms that interact in a complex and dynamic process. We press pause on this dynamic process to organize a discussion highlighting the critical role played by teamwork factors in the engagement of safe and unsafe behavior, identifying five team-level emergent states that enable effective teamwork and safety: psychological safety, team trust, collective efficacy, shared mental models, and situation awareness. Additionally, we consider foundational conditions that support team-driven safety, the development of safety culture, and the importance of team safety climate in shaping performance. We discuss leveraging teams to generate safety and identify directions for future research investigating the relationship between teamwork and safety. Overall, we submit that researchers and practitioners would benefit from taking a systems perspective of safety by integrating principles of team science to better understand and promote safety in organizations.

Strategic action fields of digital transformation

Purpose

The purpose of this paper is to capture the collective understanding of digital transformation (DT) across Swiss businesses and establish a reference framework based on the strategic action field (SAF) theory.

Design/methodology/approach

A number of Swiss associations provided their databases for an online survey. The large sample includes 2,590 participants from 1,854 organisations and delivered over 4,200 descriptions of DT, categorised into seven SAFs. A cross tabulation of SAF combinations by firm size identified 127 possible SAF combinations which constitute the common understanding of DT.

Findings

The data set allowed the identification of SAFs and the conceptualisation of DT based on a shared understanding. Drivers of digital transformation are: process engineering, new technologies and digital business development, supported by digital leadership and culture, the cloud and data, customer centricity and digital marketing.

Research limitations/implications

For practitioners, the study provides the SAFs that should be considered for DT strategies. For academic scholars, a unique data set has allowed the study of DT by analysing action field combinations, revealing a nuanced constellation of SAFs. Limitations are the focus on Swiss organisations and a convenience sample for collecting the analysed data.

Originality/value

For the first time, the shared understanding of DT in Swiss businesses – based on SAFs – has allowed a conceptualisation of DT in order to provide guidance to businesses managers and employees.

Employees First, Technology Second

Abstract. Digitization and connectivity are hot topics for nearly every company today; numerous new technologies offer diverse options. In this project, a specific technology − smart glasses − was implemented in a manufacturing company. The implementation process was innovative, as the employees’ perspective was taken into account from the beginning, rather than solely designing the technological aspects and involving the users after decisions were taken. Employees involved with the new technology were surveyed to take into account the employees’ expectations and fears regarding work design characteristics. This allowed us to customize features of the smart glasses, adapt the work organization, and inform employees about unclear points concerning the implementation process. Moreover, the competencies required for future work were analyzed using a comprehensive work analysis method. We report the results of two quantitative studies and summarize the lessons learned from this project, which can serve as a guideline for other companies.

Social media-predicted personality traits and values can help match people to their ideal jobs

Work is thought to be more enjoyable and beneficial to individuals and society when there is congruence between one's personality and one's occupation. We provide large-scale evidence that occupations have distinctive psychological profiles, which can successfully be predicted from linguistic information unobtrusively collected through social media. Based on 128,279 Twitter users representing 3,513 occupations, we automatically assess user personalities and visually map the personality profiles of different professions. Similar occupations cluster together, pointing to specific sets of jobs that one might be well suited for. Observations that contradict existing classifications may point to emerging occupations relevant to the 21st century workplace. Findings illustrate how social media can be used to match people to their ideal occupation.

The dark side of social media connectivity

Purpose

The increasing use of social media after work hours for work purposes, termed social media connectivity (SMC), is an emerging phenomenon in supply chain management. Although SMC can have debilitating effects on supply chain professionals and their organizations, research on its effects on work-related attitudes, especially turnover intentions, remains largely unexplored. The purpose of this paper is to investigate the influence of SMC on voluntary turnover of supply chain professionals and the resulting implications for them and their organizations.

Design/methodology/approach

The study draws from the conservation of resources theory and the concept of information overload to explain how SMC leads to emotional exhaustion and impacts turnover intentions of supply chain professionals, contingent on work–life balance. The model is tested using survey data (n=325) collected at multiple times from a large Chinese pharmaceutical manufacturer and distributor with spatially dispersed workforce and distribution facilities.

Findings

The results confirm that emotional exhaustion mediates the association between SMC and turnover intentions and that SMC exacerbates the intentions of supply chain professionals to quit their jobs. However, work–life balance is found to dampen the exhausting effects of SMC on emotional exhaustion thereby reducing its debilitating effects on turnover intentions of supply chain professionals.

Originality/value

The focus on SMC highlights the need for greater understanding of the dark side of social media on supply chain professionals and their organizations and how SMC can be better managed in an age of social media ubiquity.

‘We’re not run on Numbers, We’re People, We’re Emotional People’: Exploring the experiences and lived consequences of emerging technologies, organizational surveillance and control among elite professionals

The deployment of digital technologies and data analytics within contemporary organizations are continually seeking to capture vast reams of information to shape employee performance and guide behaviour. However, there is a need to further advance our understanding of the effects and unintended consequences of these technologies within differing organizational contexts. Drawing on the experiences of members connected to a UK-based professional Rugby Union club, we focus on the impact of emerging technologies and ubiquitous surveillance practices in governing employee behaviour, shifting workplace boundaries and providing the ability to resist a mode of organizational control governed by data analytics. Specific emphasis is placed upon exposing the lived consequences and tensions that emerge among employees subjected to an intensive mode of organizational surveillance. In doing so, this study highlights the manner in which emerging technologies and surveillance practices may contribute towards feelings of anxiety, precariousness and performance fatigue among their employees. Through this analysis, we aim to provide a critical understanding of managerial and leadership techniques of control, surveillance and knowledge production that may prove relevant for future research in wider organizational settings shaped by technological transformations and new forms of data-driven management.

The Role of Leadership in a Digitalized World: A Review

Digital technology has changed organizations in an irreversible way. Like the movable type printing accelerated the evolution of our history, digitalization is shaping organizations, work environment and processes, creating new challenges leaders have to face. Social science scholars have been trying to understand this multifaceted phenomenon, however, findings have accumulated in a fragmented and dispersed fashion across different disciplines, and do not seem to converge within a clear picture. To overcome this shortcoming in the literature and foster clarity and alignment in the academic debate, this paper provides a comprehensive analysis of the contribution of studies on leadership and digitalization, identifying patterns of thought and findings across various social science disciplines, such as management and psychology. It clarifies key definitions and ideas, highlighting the main theories and findings drawn by scholars. Further, it identifies categories that group papers according to the macro level of analysis (e-leadership and organization, digital tools, ethical issues, and social movements), and micro level of analysis (the role of C-level managers, leader's skills in the digital age, practices for leading virtual teams). Main findings show leaders are key actors in the development of a digital culture: they need to create relationships with multiple and scattered stakeholders, and focus on enabling collaborative processes in complex settings, while attending to pressing ethical concerns. With this research, we contribute to advance theoretically the debate about digital transformation and leadership, offering an extensive and systematic review, and identifying key future research opportunities to advance knowledge in this field.

Rethinking the Gold Standard With Multi-armed Bandits: Machine Learning Allocation Algorithms for Experiments

In experiments, researchers commonly allocate subjects randomly and equally to the different treatment conditions before the experiment starts. While this approach is intuitive, it means that new information gathered during the experiment is not utilized until after the experiment has ended. Based on methodological approaches from other scientific disciplines such as computer science and medicine, we suggest machine learning algorithms for subject allocation in experiments. Specifically, we discuss a Bayesian multi-armed bandit algorithm for randomized controlled trials and use Monte Carlo simulations to compare its efficiency with randomized controlled trials that have a fixed and balanced subject allocation. Our findings indicate that a randomized allocation based on Bayesian multi-armed bandits is more efficient and ethical in most settings. We develop recommendations for researchers and discuss the limitations of our approach.

Mechanical Turk and the gig economy: exploring differences between gig workers

Purpose

The purpose of this paper is to provide an investigation of how different types of gig workers engage in the gig economy. Specifically, the authors distinguish between workers who view gig work as primary income (or not) and those workers who view it as a job (or not).

Design/methodology/approach

In total, 1,190 Mechanical Turk (MTurk) workers completed surveys across two studies examining whether types of workers differ based on demographic characteristics, utilization of MTurk, why they participate in the gig economy on MTurk (i.e. push and pull factors) and how this impacts life satisfaction.

Findings

Workers relying on MTurk as a primary income had lower incomes and spent more time completing large numbers of work units. This group of workers also reported fewer pull factors (e.g. enjoyment) as a reason for working in the gig economy and had lower levels of self-reported current and predicted future life satisfaction. Individuals who view MTurk as a job were more likely to treat MTurk like a job – engaging in online communities and having a regular work schedule. These workers were more likely to report pull factors (e.g. enjoyment and challenge) and did not differ on life satisfaction.

Originality/value

The current research contributes to our understanding of MTurk, one of the largest online platforms for gig work, as part of the diverse gig economy and highlights potential areas for future research.

Self-regulation and social behavior during sleep deprivation

An emerging literature is specifically focusing on the effects of sleep deprivation on aspects of social functioning and underlying neural changes. Two critical facets of social behavior emerge that are negatively impacted by sleep deprivation-self-regulation, which includes behavioral and emotional regulation, and social monitoring, which includes perceiving and interpreting cues relating to self and others. Sleep deprived individuals performing tasks with social components show altered brain activity in areas of the prefrontal cortex implicated in self-control, inhibition, evaluation, and decision-making, in proximity to mesocorticolimbic pathways to reward and emotional processing areas. These cognitive changes lead to increased reward seeking and behaviors that promote negative health outcomes (such as increased consumption of indulgence foods). These changes also lead to emotional disinhibition and increased responses to negative stimuli, leading to reductions in trust, empathy, and humor. Concomitant attentional instability leads to impaired social information processing, impairing individual and team performance and increasing likelihood of error, incident, and injury. Together, changes to reward seeking, the foundational components of social interaction, and interpretation of social cues, can result in unpleasant or deviant behavior. These behaviors are perceived and negatively responded to by others, leading to a cycle of conflict and withdrawal. Further studies are necessary and timely. Educational and behavioral interventions are required to reduce health-damaging behaviors, and to reduce emotionally-laden negative interpretation of sleep-deprived exchanges. This may assist with health, and with team cohesion (and improved performance and safety) in the workplace and the home.

Perceived stress in human-machine interaction in modern manufacturing environments-Results of a qualitative interview study

Rapid advances in digitization technologies are changing modern working conditions especially in industrial settings. Consequently, employees are confronted with new forms of human-machine interaction. Whether changes in working conditions in general, and the increasing relevance of human-machine interaction in particular, affect psychosocial working conditions, and employee's health is currently matter of debate, but empirical data are lacking. Therefore, we conducted semistructured interviews with 36 employees working in five different companies. The interviews were aimed at identifying potential stressors associated with the introduction and use of modern technologies in the manufacturing industry. The results show that stressors linked to human-machine interaction are technical problems, poor usability, low situation awareness, and increased requirements on employees' qualification. For example, technical problems such as breakdowns or slowdowns were described as a main stressor when employees were not qualified to handle these problems on their own, thus decelerating work flows and causing additional time pressure. Overall, the results show that problems in human-machine interaction, which have been observed in laboratory and nonindustrial settings, also apply to industrial work places with highly automated working conditions and are a potential source of stress. These factors should be considered in psychosocial risk assessment of work-related stressors.

Exploring the Relationship of a Gamified Assessment with Performance

Our study explores the validity of a game-based assessment method assessing candidates' soft skills. Using self-reported measures of performance, (job performance, Organizational Citizenship Behaviors (OCBs), and Great Point Average (GPA), we examined the criterion-related and incremental validity of a game-based assessment, above and beyond the effect of cognitive ability and personality. Our findings indicate that a game-based assessment measuring soft skills (adaptability, flexibility, resilience and decision making) can predict self-reported job and academic performance. Moreover, a game-based assessment can predict academic performance above and beyond personality and cognitive ability tests. The effectiveness of gamification in personnel selection is discussed along with research and practical implications introducing recruiters and HR professionals to an innovative selection technique.

Team-Level Constructs

Studies of team-level constructs can produce new insights when researchers explicitly take into account several critical conceptual and methodological issues. This article explicates the conceptual bases for multilevel research on team constructs and discusses specific issues relating to conceptual frameworks, measurement, and data analysis. To advance programmatic research involving team-level constructs, several future research directions concerning issues of substantive content (i.e., changes in the nature of work and teams, member-team fit, linking team-level constructs to higher-level constructs) and strategic approaches (i.e., the construct's theoretical roles, dimensionality and specificity, malleability and changes over time, relationships with Big Data) are proposed.

The Changing Nature of Employee and Labor-Management Relationships

This article reviews work and employment research, paying particular attention to theory and applications by scholars in organizational psychology and organizational behavior (OP/OB) and employment or industrial relations (ER), with the objective of better understanding employee and labor-management relationships. Our animating premise is that juxtaposing these two research traditions provides a stronger basis for analyzing these relationships today. OP/OB offer micro- and meso-level focuses, whereas ER focuses on organizations, collective actors, and labor markets, with an emphasis on historical context. We hope this review motivates efforts to think about and build new social and psychological contracts that are attuned to the evolving dynamics present in the economy, workforce, and society. To this end, we look to the future and propose ways of deepening, broadening, and accelerating the pace of research that might lead to useful changes in practices, institutions, and public policies.

Strategies for Creating Innovators in Thailand's Higher Education

Thailand has set a goal to produce graduates who have critical thinking and innovative skills that are useful for the industrial sector. The purpose was to apply a strategic management process as the framework of this study consisting of (1) situational analysis, (2) strategic formation, (3) strategic implementation, and (4) strategic control and feedback. This study proposes an innovation program consisting of (1) curriculum goals, (2) continuous teaching and learning, and (3) regular follow-ups and evaluation of innovative projects and their impacts on society. It can be concluded that the country's development of innovators requires the cooperation of all sectors to create a solid, sustainable, and productive system that can produce innovative workers to develop the economy, society, and the nation, and to enhance the national competitiveness in the world.

Development of a Change Management Instrument for the Implementation of Technologies

The manufacturing industry is increasingly being dominated by information and communication technology, leading to the development of cyber-physical systems. Most existing frameworks on the assessment of such technological advancements see the technology as a solitary system. However, research has shown that other environmental factors like organizational processes or human factors are also affected. Drawing on the sociotechnical systems approach, future technologies could be evaluated using scenarios of digitized work. These scenarios can help classify new technologies and uncover their advantages and constraints in order to provide guidance for the digital development of organizations. We developed an instrument for evaluating scenarios of digitized work on the relevant dimensions ‘technology’, ‘human’ and ‘organization’ and conducted a quantitative study applying this instrument on three different scenarios (N = 24 subject matter experts). Results show that our instrument is capable of measuring technological, human and organizational aspects of technology implementations and detecting differences in the scenarios under investigation. The instrument’s practical value is significant as it enables the user to compare and quantify scenarios and helps companies to decide which technology they should implement.

Work and Organizational Psychology Looks at the Fourth Industrial Revolution: How to Support Workers and Organizations?

With rapid advances in technology in several fields of human life, we are entering the Fourth Industrial Revolution (FIR), which is changing the way businesses create value, people do their work and individuals interact and communicate with each other. In this framework, many questions have arisen about how these transformations affect workers, organizations and societies, and Work and Organizational Psychology (WOP) has been called upon to address some of these open issues. In particular, this article focuses on two aspects of the FIR. The first considers the expansion of automation in the workplace and raises questions such as: how is the relationship between workers and technology changing? How is it affecting people's well-being? How can we expect it to affect employment and equality in the future? The second is related to how job transformation will influence requirements for knowledge and skills; the main question is: which competence profile, considering hard and soft skills, is required and expected in the work of the future? The aim of the present paper is to improve the understanding of some of the major issues that workers and organizations are, or will be, asked to face, by providing information that will be useful to facilitate debate, research and interventions. In the conclusion section, research, and practical implications at organizational, political and institutional levels are discussed.

Inhalts- und prozessbezogene Anforderungen an die Gefährdungsbeurteilung psychischer Belastung im Kontext Industrie 4.0

Zusammenfassung. Die Erfassung psychosozialer Belastung bei der Arbeit im Rahmen der Gefährdungsbeurteilung psychischer Belastung (GBU) verfolgt das Ziel, arbeitsbedingte psychische Belastungen zu messen und mögliche Gefährdungen zu verringern oder gänzlich zu vermeiden. Gängige Verfahren der GBU sind allerdings noch nicht an das veränderte Arbeitsumfeld angepasst, welches im Zuge der fortschreitenden technischen Entwicklung unter dem Schlagwort Industrie 4.0 zusammengefasst wird. Auf Basis von qualitativen Interviews mit 38 betrieblichen und überbetrieblichen Expert_innen des Arbeits- und Gesundheitsschutzes zeigt sich, dass Anpassungen bei der GBU bezogen auf deren Durchführungsprozess und deren Inhalte notwendig sind, um den Herausforderungen, die durch die veränderte Arbeitswelt entstehen, zu begegnen. Die Expert_innen benennen neuartige, veränderte Belastungen sowie konkrete Anforderungen an den Prozess der GBU. Die Ergebnisse der qualitativen Interviews werden abschließend kritisch reflektiert und mit bestehender Forschung verknüpft.

Transfer of Training: The Known and the Unknown

Transfer of training is one of the oldest topics of interest to industrial and organizational (I/O) psychologists. Drawing on several meta-analytic studies and recent empirical work, we first synthesize what is now reliably known with respect to the generalization and retention of learned knowledge and skills to work contexts. The second part of our review focuses on what is unknown—the significant gaps in our knowledge where we believe new directions in our research strategies are warranted. We offer three prescriptions: (a) going one step beyond most existing studies to offer greater precision in our specification and measurement of variables and interventions, (b) connecting the dots by focusing on transfer criteria and transfer trajectories, and (c) shifting the operative paradigm of research to examine contemporary learning from a problem-centered perspective. There is ample opportunity to increase the yield on enormous organizational investments in training if transfer scholars and practitioners are fully informed of what is known and prepared to systematically confront the unknown in new and innovative ways.

Job Crafting: Older Workers' Mechanism for Maintaining Person-Job Fit

Aging at work is a dynamic process. As individuals age, their motives, abilities and values change as suggested by life-span development theories (Lang and Carstensen, 2002; Kanfer and Ackerman, 2004). Their growth and extrinsic motives weaken while intrinsic motives increase (Kooij et al., 2011), which may result in workers investing their resources in different areas accordingly. However, there is significant individual variability in aging trajectories (Hedge et al., 2006). In addition, the changing nature of work, the evolving job demands, as well as the available opportunities at work may no longer be suitable for older workers, increasing the likelihood of person-job misfit. The potential misfit may, in turn, impact how older workers perceive themselves on the job, which leads to conflicting work identities. With the traditional job redesign approach being a top-down process, it is often difficult for organizations to take individual needs and skills into consideration and tailor jobs for every employee (Berg et al., 2010). Therefore, job crafting, being an individualized process initiated by employees themselves, can be a particularly valuable mechanism for older workers to realign and enhance their demands-abilities and needs-supplies fit. Through job crafting, employees can exert personal agency and make changes to the task, social and cognitive aspects of their jobs with the goal of improving their work experience (Wrzesniewski and Dutton, 2001). Building on the Life Span Theory of Control (Heckhausen and Schulz, 1995), we posit that job crafting, particularly cognitive crafting, will be of increasing value as employees age. Through reframing how they think of their job and choosing to emphasize job features that are personally meaningful, older workers can optimize their resources to proactively redesign their jobs and maintain congruent, positive work identities.

The Double-Edged Sword of Big Data in Organizational and Management Research

While many disciplines embrace the possibilities that Big Data present for advancing scholarship and practice, organizational and management research has yet to realize Big Data’s potential. In an effort to chart this newfound territory, we briefly describe the principal drivers and key characteristics of Big Data. We then review a broad range of opportunities and risks that are related to the Big Data paradigm, the data itself, and the associated analytical methods. For each, we provide research ideas and recommendations on how to embrace the potentials or address the concerns. Our assessment shows that Big Data, as a paradigm, can be a double- edged sword, capable of significantly advancing our field but also causing backlash if not utilized properly. Our review seeks to inform individual research practices as well as a broader policy agenda in order to advance organizational and management research as a scientifically rigorous and professionally relevant field.

Human capital analytics: why are we not there?

Purpose

While human capital analytics (HCA) recently has developed enormous interest, most organizations still find themselves struggling to move from operational reporting to analytics. The purpose of this paper is to explore why that is the case and can be done to change that.

Design/methodology/approach

Referring to the “LAMP” model, the authors stress four elements as potential reasons why HCA are not sufficiently being “pushed” toward their audience, namely, logic, analytics, measures, and process. Similarly, they name five conditions why the wider use of HCA is not “pulled” in by the analytics user.

Findings

The authors investigations show that these “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.

Practical implications

These “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.

Originality/value

These “push” and “pull” factors behind the lack of greater use of HCA represent fertile ground for future research and implications for practitioners on both ends.

How change information influences attitudes toward change and turnover intention

Purpose

The purpose of this paper is to examine how the quality of change information influences employees’ attitude toward organizational change and turnover intention. Additionally, the role of engagement, psychological contract fulfillment and trust in the relationship between change information and attitude toward change is assessed.

Design/methodology/approach

In a technology services organization that was implementing a “new way of working,” questionnaire data of 669 employees were gathered. The organizational change in question sought to increase employees’ autonomy by increasing management support and improving IT support to facilitate working at other locations (e.g. at home) or at hours outside of regular working hours (e.g. in evening).

Findings

The results showed that change information was positively related to psychological contract fulfillment and attitude toward change. Engagement and psychological contract fulfillment were positively related to attitude toward change and negatively related to turnover intention. Contrary to what was expected, trust did not influence attitude toward change but was negatively related to turnover intention.

Practical implications

The study presents a model that can help management to foster positive affective, behavioral, and cognitive responses to change, as well as to reduce employee turnover. Fulfilling employees’ psychological contracts and cultivating engagement is important in this respect, as well as continuously considering whether information about the organizational change is received in good time, is useful, is adequate and satisfies employees’ questions about the change.

Originality/value

As one of the first studies in its field, attitude toward change was conceptualized and operationalized as a multidimensional construct, comprising an affective, a behavioral and a cognitive dimension.

<i>South African Journal of Industrial Psychology</i>: Annual editorial review 2016

No abstract available.