Strategic Flexibility, Manager Personality, and Firm Performance: The Case of Indian Automobile Industry

Working capital management of SMEs in COVID-19: role of managerial personality traits and overconfidence behavior

The study intends to investigate the role of managerial personality traits on working capital management of Chinese SMEs with the mediating role of overconfidence behavior. Data from the Chinese SMEs managers is collected through a close-ended survey questionnaire using multi-stage cluster sampling and structural equation modeling is applied for empirical analysis. The results shown that extroversion, openness to experience, and agreeableness traits determines overconfidence behavior among the managers. While, conscientiousness and neuroticism traits were found insignificant with overconfidence behavior. Overconfidence behavior significantly mediated during COVID-19 between managerial personality traits (e.g., extroversion and agreeableness traits) and working capital management. Limitted time remained a major limitation in completing this study. The study extended the knowledge by investigating the working capital management practices during COVID-19 in Chinese SMEs and contributed by presenting multiple practical implications for effective working capital management.

Impact of corporate sustainable practices, government initiative, technology usage, and organizational culture on automobile industry sustainable performance

The increasing worldwide automobile production and usage adversely impact the environmental, economic, and social well-being. Although the automobile companies are trying to solve this problem by adopting corporate sustainability, there is a gap in the extant literature on sustainable corporate practices that are the most important to empower better sustainability performance. This study highlights the impact of core corporate sustainable practices attributes, government initiative, technology usage, and organizational culture on the sustainable performance of the automobile industry in India. The study proposed six aspects and fifty-three criteria from the literature review. The current article has used survey questionnaires to collect the primary data. The present article also applied the smart-PLS to test the association among the variables. The results indicated that the corporate sustainable practices attributes, technology usage, and organizational culture have a positive and significant linkage with the sustainable performance of the automobile industry. The current article guides the regulators in developing the regulations to improve sustainable organizational performance using sustainable corporate practices.

Openness and Entrepreneurial Performance During COVID-19 Pandemic: Strategic Decision Comprehensiveness as an Inconsistent Mediator

The COVID-19 pandemic severely hit small and micro-businesses. In the face of the impact of the pandemic, how to help entrepreneurs, especially small- and micro-businesses that are more sensitive to the impact of the pandemic, make decisions to reduce losses has become an issue worth paying attention to. From the perspective of personality approach, this article studied openness, which is the strongest predictor of entrepreneurial performance among the big five personality traits, and explored the impact of entrepreneurs' openness on entrepreneurial performance during the COVID-19 pandemic, as well as the inconsistent mediating role of strategic decision comprehensiveness on entrepreneurial performance. An online questionnaire survey was conducted among 238 entrepreneurs of small- and micro-businesses when China was recovering from the pandemic and starting to resume work and production (February 18 - February 26, 2020). Entrepreneurial performance during the COVID-19 pandemic was measured by comparing the business conditions before and after the pandemic. The results showed that entrepreneurs' openness positively impacted strategic decision comprehensiveness and entrepreneurial performance during the COVID-19 pandemic. Among the two competing hypotheses proposed by summarizing previous research, the results supported that strategic decision comprehensiveness negatively affected entrepreneurial performance. It indicated that entrepreneurs who tend to collect and analyze information extensively and then make decisions during the pandemic could not seize opportunities and improve their entrepreneurial performance. The results further supported that strategic decision comprehensiveness was an inconsistent mediator between openness and entrepreneurial performance, showing that entrepreneurs with low openness can also reduce the loss of entrepreneurial performance during the pandemic by making incomplete but rapid strategic decisions. This study found that the openness of entrepreneurs had a positive impact on strategic decision comprehensiveness for the first time and provided more empirical evidence for the negative effect of strategic decision comprehensiveness on entrepreneurial performance in the context of information uncertainty and unanalyzable situations. The inconsistent mediating effect of strategic decision comprehensiveness revealed in this study also has practical significance for helping entrepreneurs make correct decisions to reduce the losses caused by the pandemic.

Benchmarking the practices of flexibility with maturity models and frameworks of organizational capabilities

Purpose

Organizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities.

Design/methodology/approach

This paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals.

Findings

This study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven.

Research limitations/implications

The maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena.

Practical implications

The comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles.

Social implications

A choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation.

Originality/value

This is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.

Technology and Entrepreneurial Marketing Decisions During COVID-19

The prime concern of this study is to explore how technology influences entrepreneurial marketing decisions during the world pandemic (COVID-19). The study uses a sample of 127 SMEs from Bangladesh. Data were collected by sending out questionnaires electronically and by mail. Smart PLS (SEM) 3.0 was used to analyse the data following the quantitative method. The study reveals positive and significant relationships between entrepreneurial opportunity recognition, opportunity development and opportunity exploitation with their entrepreneurial marketing decisions. It also claims that entrepreneurial passion mediates the relationship between entrepreneurial opportunity recognition and opportunity development with their entrepreneurial marketing decisions. However, entrepreneurial passion does not mediate the relationship between entrepreneurial opportunity exploitation and entrepreneurial marketing decisions. The study offers researchers a broader and more wide-ranging view of the importance of artificial intelligence in small firms. Researchers, educators and practitioners will benefit from the findings. The analyses are more complex and varied than the methodologies used in most of the limited previous research.

Explaining the Voluntary Compliance to COVID-19 Measures: An Extrapolation on the Gender Perspective

The discourse of gender amidst the COVID-19 pandemic had been a big fuss. Amongst the discussions is the gender-related responses to COVID-19 that generally assume females to better respond to COVID-19 than males. Despite the converging assumptions, previous studies tend to conceptualize gender as binary biological sex, and consequently, there is little understanding of the gender-COVID-19 measures compliance relationship. By taking gender as a multidimensional perspective, this research aims to examine the relationship between sex, gender psychology, and gender-role with voluntary compliance to COVID-19 measures as well as the moderating role of situational aspects that can activate individuals' responses toward COVID-19. A survey had been conducted in Indonesia, as Indonesia represents a country with relaxed COVID-19 restrictions making voluntary compliance is deemed important. Consistent with our predictions and previous studies, females tend to better comply with COVID-19 when gender is treated as dichotomous sex. However, a closer look at the gender dimensions revealed that gender psychology (feminine vs masculine) and gender-role (traditional vs egalitarian) provide a better explanation of the specific compliance behaviour toward COVID-19 measures. Interestingly, although situational pathogen avoidance (SPA) directly leads to adherence to several compliance behaviours, it does not moderate the four compliance behaviour of COVID-19 measures. Theoretical and practical contributions are further discussed.

Personality traits and bricolage as drivers of sustainable social responsibility in family SMEs: A COVID‐19 perspective

Motivated by the social and environmental challenges resulting from the COVID‐19 pandemic, this research examines the influence of the “big five” personality traits; extroversion, agreeableness, openness, conscientiousness, and neuroticism on sustainable social responsibility with a mediating role of bricolage. We collected empirical evidence from 245 family‐owned SMEs. The results indicate that the personality traits do not directly influence sustainable social responsibility, although the traits (except extroversion) influence bricolage. Moreover, we found that open, conscious, and agreeable personalities indirectly contribute to sustainable social responsibility, with bricolage as a mediator. Our findings encourage enterprises to focus on those personality traits during crises (especially COVID‐19) that empower people to effectively manage existing resources (e.g., bricolage) and protect their stakeholders. Family‐owned SMEs need to assign resource utilization tasks to family members having personalities of openness, conscientiousness, and neuroticism because these kinds of people have high capacities for bricolage.

An analysis of growth-accelerating factors for the Indian automotive industry using modified TISM

Purpose

This study aims to identify and prioritize various growth-accelerating factors in the Indian automotive industry. It further develops a hierarchical model to examine the mutual interactions between the factors, their dependence and their driving power.

Design/methodology/approach

This study first identifies the growth-accelerating factors and then uses the modified total interpretive structural modeling (m-TISM) framework, which is an extended version of TISM. It further uses MICMAC analysis to analyze the mutual interrelation between the identified factors.

Findings

This study highlights the interrelation amongst the factors using m-TISM model. A hierarchical model shows the level of autonomous, dependence, linkage and independent factors considering the Indian automotive industry. This study also provides the understanding related to the interdependence of growth-accelerating factors.

Research limitations/implications

The government and practitioners could evaluate the growth-accelerating factors which have higher driving power for implementing efficient policies and strategy formulation. By implementing m-TISM model in the Indian automotive industry, auto manufacturers can become more productive and profitable. Future studies could use other methods such as expert opinion to derive the factors, and further model could be verified using structural equation modeling technique.

Originality/value

This study uses a novel m-TISM framework for the analysis of growth-accelerating factors in the context of the Indian automotive industry. It further provides a detailed theoretical and conceptual understanding relating to the philosophy and establishes an interrelation amongst these under-researched growth-accelerating factors.

Analysis of demand risks for the Indian automotive sector in globally competitive environment

Purpose

The purpose of this study is to understand the different types of risks affecting the demand for the automotive sector in India. The study is further trying to illustrate an approach for analyzing the relative intensities of these risks in the present uncertain business environment.

Design/methodology/approach

Risk on the overall demand is assessed by a combined Bayesian – multi-criteria decision-making approach. Data related to the different factors, affecting their product demand is collected from major automobile firms. Then, weights for these factors are evaluated by applying the analytic hierarchy process approach. Further, these weights are used in the Bayesian analysis network to evaluate the risk intensity for different subgroups, namely, political, economic, social, technological and environmental.

Findings

From the literature and experts’ opinion, total 16 risk factors have been finalized and these are further grouped into 5 categories i.e. political, economic, social, technological and environmental. It is observed that the demand for organizations functioning in the automotive sector is more vulnerable to economic risk as compared to other risks considered in the study.

Practical implications

Managers and decision makers of associated organizations can use the proposed framework to assess the demand risks so as to pre-evaluate their demand corresponding to future changes. Factors can be added or removed and importance could be assigned to different risk factors according to the prevailing business environment for an organization or sector. This will also help the organizations to conduct a more effective risk management in an uncertain business environment.

Originality/value

The study will help in better understanding of the various demand risks prevalent in the Indian auto sector. The methodology used, provides a novel approach for assessing the macroeconomic demand risks and can be used by the firms working in the automotive sector. The proposed methodology could be used for assessing supply chain risk or any other business initiative risk. The suggested approach will help managers in devising flexible management techniques so as to mitigate the risk.