Search results

With a growing demand for safe, clean and affordable energy, emerging economies (EEs) across the globe are now seeking to create and rapidly develop renewable energy (RE) businesses. The success of these businesses often hinges on their ability to translate RE into sustainable value for energy consumers and the multiple stakeholders in this industry. Such value includes low production costs due to an abundance of natural resources (e.g. wind, water and sunlight) and public health benefits from reduced environmental pollution. With that in mind, this paper aims to gauge RE’s potential for sustainable value creation and then develop an effective RE business strategy.

This paper develops a structural equation model, conducts an exploratory factor analysis, confirmatory factor analyses with and without common latent factors and proposes a moderated mediation analysis to identify a host of factors that influence the success of RE businesses.

This paper discovers that RE business performance is significantly affected by integrated vision, intellectual capital and social capital.

To the best of the authors’ knowledge, this paper is one of the first empirical studies that identify various factors influencing successful RE businesses in EEs such as Asian (e.g. China and India) and Latin American countries.

The potential applications of information and communication technologies in the workplace are wide-ranging and, especially since the COVID-19 pandemic, have increasingly found their way into the field of electronic performance monitoring (EPM) of employees. This study aims to examine the influence of EPM on individual performance considering the aspects of privacy invasion, organizational trust and individual stress within an organization. Thus, important insights are generated for academia as well as business.

A theoretical framework was developed which conceptualizes perceived EPM as independent variable and individual performance as dependent variable. Moreover, the framework conceptualizes three mediator variables (privacy invasion, organizational trust and individual stress). Based on a large-scale survey (N = 1,119), nine hypotheses were tested that were derived from the developed framework.

The results indicate that perception of EPM significantly increases privacy invasion, reduces organizational trust, increases individual stress and ultimately reduces individual performance. Moreover, it was found that privacy invasion reduces organizational trust and that this lowered trust increases individual stress. Altogether, these findings suggest that the use of EPM by employers may be associated with significant negative consequences.

This research enriches the literature on digital transformation, as well as human–machine interaction, by adopting a multidimensional theoretical and empirical perspective regarding EPM in the workplace context, in which the influence of EPM perceptions on individual performance is examined under the influence of different aspects (privacy invasion, organizational trust and individual stress) not currently considered in this combination in the literature.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

The purpose of this study is to explore the ideological gaps across a range of policing interactions with the public.

In a survey distributed via Mechanical Turk (MTurk) (n = 979), the authors explore the role that respondents' political ideology plays in the agreement of 13 aspects of policing services, their demeanor and decorum.

Attitudes toward policing interactions are slightly positive. Conservatives steadfastly hold positive attitudes about police. Liberals vacillate from negative to positive attitudes across the 13 policing interaction statements.

Although small, there is an ideological consensus that police adequately protect citizens and are knowledgeable about the law.

Even at record lows of public confidence in the police, some subsections of the sample, such as conservatives, firmly hold positive attitudes about police. The unwavering support for police by conservatives continues across the multi-item measure of policing interactions, whereas liberals illustrated less uniformity in their attitudes.

In past years, the global supply chain has witnessed devastating effects of coronavirus (COVID-19) disease. However, the COVID-19 pandemic has renewed the interest of the Sustainable Supply Chain (SSC) stakeholders on sustainability. The stakeholders are now rethinking their business processes and strategy to make them sustainable. In this context, the relevant literature is required to support emerging markets to formulate sustainability-focussed strategies. The purpose of this study is to provide a comprehensive analysis of potential antecedents that leads towards sustainable development of freight transportation in emerging markets.

Initially, the antecedents of the Sustainable Freight Transport (SFT) system are derived from the literature survey followed by verification from the experts. Then, the potential antecedents are categorized under four (social, organizational, operational and environmental) broad categories. Afterwards, a Neutrosophic Analytic Network Process (N-ANP) method is employed to obtain the priority weights of the identified potential antecedents.

The paper identified and ranked 17 antecedents of the SFT system. According to the study’s findings, the top three antecedents of SFT are “the presence of a multimodal transportation system,” “circularity in SFT” and “traffic congestion management”. The results from the study advocate the promotion of existing multi-modal transport facilities which is promising to achieve sustainability. The results suggested the adoption of the digital twin to manage the transport operations.

This study sheds light on how to achieve sustainability in the freight transportation system post-COVID era highlighting the potential antecedents. The study’s findings will assist practitioners in developing SFT strategies in the face of such pandemics in future.

This study aims to explore and empirically test variables influencing material delivery schedule inaccuracies?

A mixed-method case approach is applied. Explanatory variables are identified from the literature and explored in a qualitative analysis at an automotive original equipment manufacturer. Using logistic regression and random forest classification models, quantitative data (historical schedule transactions and internal data) enables the testing of the predictive difference of variables under various planning horizons and inaccuracy levels.

The effects on delivery schedule inaccuracies are contingent on a decoupling point, and a variable may have a combined amplifying (complexity generating) and stabilizing (complexity absorbing) moderating effect. Product complexity variables are significant regardless of the time horizon, and the item’s order life cycle is a significant variable with predictive differences that vary. Decoupling management is identified as a mechanism for generating complexity absorption capabilities contributing to delivery schedule accuracy.

The findings provide guidelines for exploring and finding patterns in specific variables to improve material delivery schedule inaccuracies and input into predictive forecasting models.

The findings contribute to explaining material delivery schedule variations, identifying potential root causes and moderators, empirically testing and validating effects and conceptualizing features that cause and moderate inaccuracies in relation to decoupling management and complexity theory literature?

This study aims to investigate the associations among different leadership styles and employees' taking charge. Applying Person–Environment (P-E) fit theory, the current study further explores employees' intrinsic motivation as an important individual factor that possibly moderates the hypothesized relationships.

In this field study, 212 supervisor–employee matched multi-source data were collected from multiple organizations located in South Korea. Data were analyzed with multiple hierarchical regression.

Empowering leadership is positively related to employees' taking charge, whereas directive leadership is negatively associated with it. Results of the current study further support that intrinsically motivated employees exhibit more taking charge when their leader shows empowering leadership but reduce their taking charge when their leader demonstrates directive leadership.

The current empirical results could not infer causality due to a cross-sectional research design.

Organizations should develop and embrace empowering leadership if the employees' self-started and change-oriented behavior, taking charge, is particularly critical to fostering organizational effectiveness.

This study extends the literature on leadership and employee proactivity by examining different leadership styles as predictors of employees' taking charge. Based on the current study results, empowering leadership could work as a facilitator and directive leadership as a barrier to employees' taking charge.

Anti-racism has been practiced in various ways, with varying degrees of effectiveness. This chapter engages with the body of scholarship that focuses on approaches aimed at promoting anti-racist actions, policies and social change. It discusses some of the main anti-racism strategies that have been deployed across different countries and examines anti-racism practices in interpersonal, intergroup and community settings. These approaches encompass civil rights campaigns, legislative and policy interventions, affirmative action, diversity and inclusion training, prejudice reduction, intergroup contact, organisational development and holistic anti-racism approaches. Some anti-racism practices and policies, such as awareness campaigns, social marketing and diversity training, also extend to digital platforms, with social media and multimedia networks deployed to broaden the reach and impact of anti-racist endeavours. This chapter specifically engages with local anti-racism movements and draws principles for broader implementation of anti-racism policy and practice. It concludes with a brief discussion of the effectiveness of contemporary anti-racism approaches.

In this manuscript, the authors argue that those suffering from depressive symptoms are prone to experiencing bouts of unproductivity. The authors argue further that such conditions promote instances of self-disclosure regarding related symptoms in the interest of procuring workplace support, i.e. the effect of depressive symptomology on workplace support is mediated by both unproductivity and self-disclosure, in turn.

Two different online investigations were implemented to assess the accuracy of this prediction. Moreover, two different samples of organizational employees from numerous organizations were procured, such that one sample contained diagnosed individuals, whereas the other contained undiagnosed individuals (total N = 756). In general, the main analyses consisted of confirmatory factor analysis and path analysis.

Substantial statistical support was obtained for the authors' four-variable path model. Specifically, across two different investigations, a model was found in which those with depressive symptoms were unproductive, which prompted self-disclosure and thus subsequent manifestations of workplace support. Moreover, this was generally true for both diagnosed and undiagnosed individuals. Correlation coefficients and model fit indices are reported in the manuscript.

This work contributes substantially to the understanding of how depressive symptomology, self-disclosure and workplace support are interrelated within organizations. In addition, having examined these relationships using a sample of undiagnosed individuals, new insights were gained regarding a subset of the population that remains vastly understudied.