Identifying Dimensions of Dynamic Technological Capability: A Systematic Review of the Last two Decades of Research

Nowadays, technological innovation capabilities support competitive advantage, and the survival and development of modern organizations accordingly depend on the knowledge and applications of such innovations. Nevertheless, the link between various aspects of the dynamic technological capability of many organizations is not still clear. Meanwhile, the new trend of some research in the field of dynamic capabilities refers to its technological foundations, as a platform for strengthening and creating a competitive technological advantage in a scattered manner. In this regard, this paper systematically reviews the previous research on technological basis of dynamic capabilities using the systematic review approach, examining articles published during 2000–2021 in which the technological foundations of dynamic capabilities in terms of sensing, seizing, and deformation (i.e. cognitive, psychological and organizational) have been extracted. A framework for future research has also been presented. The recommended framework can partially bridge the gap in the literature on the technological foundations of dynamic capabilities in future studies and help the managers to identify the technological road map for gaining competitive technological advantages.

A Systematic Review of Leadership Styles in Organizations: Introducing the Concept of a Task-Relationship–Change Leadership Network

Despite the leadership literature involving a spread spectrum of relevant frameworks to explain leadership behaviors, there is still an ever-increasing demand for more conceptual transparency in leadership styles, characteristics, and their impacts on members and organizations. This study aims to systematically review and identify all the leadership styles and presents a leadership network of all styles based on the seven steps proposed by Scaringella and Radziwon [2018] . A total of 59 articles were consequently selected according to the protocols and then the predominant leadership styles, as well as their characteristics, were investigated and classified in terms of the three criteria namely “task”, “relationship”, and “change” and a [Formula: see text] leadership network was created covering retrogressive and passive leadership (frame 1.1), authentic and exchange-oriented leadership (frame 9.1), influential and transactional leadership (frame 1.9), transformational leadership (frame 9.9), and balanced leadership (frame 5.5). The proposed network indeed coherently covers all the leadership styles reviewed and presents a framework for shifting towards transformational leadership. This network should be viewed as a coherent entirety and all the six leadership concepts including training, behaviors, culture, competencies, succession, and evaluation need to be taken into consideration.

Safety Technology Adoption: Predicting Intention to Use Car Dashcams in an Emerging Country

This study investigates the factors that affect the user’s intention to use dashcam in Malaysia. This study examines the quantitative relationship of intrinsic as well as extrinsic factors such as personal innovativeness, perceived uniqueness, perceived usefulness, perceived ease of use, attitude, perceived behavioral control, social influence, price value, and trust to the purchase intention of dashcam. Purposive sampling technique was employed to collect responses from 232 respondents based on two criteria: first, individuals who have experienced driving on the road and have a car; and second, individuals who not yet adopt or purchase the dashcam. The data were analyzed using SmartPLS (version 3.3.2). No relationship between personal innovativeness and perceived usefulness was found, in contrast to a significant relationship the former and perceived ease of use. Furthermore, perceived uniqueness was found significant to both perceived usefulness and perceived ease of use. Consistent with the literature, both perceived usefulness and perceived ease of use were identified as factors influencing attitude. However, perceived usefulness did not affect intention. Perceived behavioral control, social influence, attitude, and trust significantly affected the behavioral intention to use the dashcam in Malaysia. This study attempts to integrate and adapt two technology adoption models, namely the Combined Technology Acceptance Model and Theory Planned Behavior and extension of Unified Theory of Acceptance and Use of Technology, also extends the model with personal innovativeness, perceived uniqueness, and trust to fulfil the study’s objectives as well.

The Relationship Between Age and Mental Health Among Adults in Iran During the COVID-19 Pandemic

The evidence on the predictors of mental health in the COVID-19 pandemic has revealed contradictory findings, which prevent effective screening for mental health assistance. This study aims to identify the predictors of mental health issues, specifically examining age as a nonlinear predictor. Based on a survey of 474 adults using snowball sampling under the COVID-19 pandemic during April 1th-10th, 2020, in Iran, we found that age had a curvilinear relationship with nonsomatic pain, depression, and anxiety. Specifically, it predicted pain, depression, and anxiety disorders, negatively among adults younger than 45 years, yet positively among seniors older than 70 years. Adults who were female, were unsure about their chronic diseases, or exercised less were more likely to have mental health issues. This study, being the first paper to examine age curvilinearly, suggests future research to pay more attention to nonlinear predictors of mental health disorders in the COVID-19 pandemic.

Determination of Optimal Leadership Styles Through Knowledge Management: A Case from the Automotive Industry

This study proposed a model to examine the impact of various leadership styles on knowledge management. This case study identified the best leadership style, which can affect the key factors of the knowledge management success. The statistical population was composed of all staff of the Pars Khodro Company headquarters in Iran, in which 226 people were accordingly chosen as the sample. The required data for examining research hypotheses were also collected using questionnaire. Results revealed the impact of leadership styles on knowledge management. The transformational leadership style was consequently found to have a positive and significant impact on the knowledge management key success factors, in contrast with other leadership styles including self-management, pragmatic, conservative and structure-based.

The Mental Health of Healthcare Staff Working During the COVID-19 Crisis: Their Working Hours as a Boundary Condition

Purpose

Healthcare staff operate at the forefront of the fight against COVID-19 and hence face enormous physical and mental pressures. We aim to investigate healthcare staff's mental health issues and the associated predictors during the COVID-19 pandemic. Specifically, this paper aims to identify some unique predictors of healthcare staff's mental health issues in Iran, the second country after China to experience a major COVID-19 crisis.

Methods

An online survey of 280 healthcare staff in all 31 provinces of Iran assessed staff's mental distress (K6), depression, and anxiety (PHQ-4) during April 5-20, 2020 during the COVID-19 crisis.

Results

Nearly a third of healthcare staff surpassed the cutoff for distress, depression, and anxiety symptoms. Females or more educated healthcare staff were more likely to experience distress. Those who were unsure whether they had COVID-19 were more likely to experience distress and depression symptoms. The number of COVID-19 cases among a healthcare worker's colleagues or friends positively predicted the worker's anxiety symptoms. Amongst healthcare staff, doctors were less likely than radiology technologists to experience distress and anxiety symptoms. Technicians and obstetrics staff experienced fewer anxiety symptoms. The age and the weekly working days of healthcare staff interacted such that age is asignificant predictor of mental health issues among younger but not older healthcare staff.

Conclusion

The identification of the predictors of mental health issues can guide healthcare organizations to screen healthcare workers who are more likely to be mentally vulnerable in the ongoing COVID-19 pandemic.

At the height of the storm: Healthcare staff's health conditions and job satisfaction and their associated predictors during the epidemic peak of COVID-19

This study reports the physical health, mental health, anxiety, depression, distress, and job satisfaction of healthcare staff in Iran when the country faced its highest number of total active COVID-19 cases. In a sample of 304 healthcare staff (doctors, nurses, radiologists, technicians, etc.), we found a sizable portion reached the cutoff levels of disorders in anxiety (28.0%), depression (30.6%), and distress (20.1%). Age, gender, education, access to PPE (personal protective equipment), healthcare institutions (public vs. private), and individual status of COVID-19 infection each predicted some but not all the outcome variables of SF-12, PHQ-4, K6, and job satisfaction. The healthcare workers varied greatly in their access to PPE and in their status of COVID-19 infection: negative (69.7%), unsure (28.0%), and positive (2.3%). The predictors were also different from those identified in previous studies of healthcare staff during the COVID-19 crisis in China. This study helps to identify the healthcare staff in need to enable more targeted help as healthcare staff in many countries are facing peaks in their COVID-19 cases.