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Prior studies have shown various mediating and moderating mechanisms regarding the effect of employees' perceived overqualification on intention to leave (ITL). Nonetheless, only a few empirical studies have shed light on the negative underlying processes that explain this relationship. Furthermore, less is known about the role of high-performance work systems (HPWSs) in the overqualification literature. Drawing upon relative deprivation theory (RDT), this research attempts to fill these gaps by examining the mediating role of work-related boredom and the moderating role of perceived HPWSs in the association between perceived overqualification and ITL.

Data from a sample of 188 employees working in a Greek manufacturing company were analyzed using the PROCESS macros for SPSS.

The results indicated that work-related boredom mediates the association between perceived overqualification and ITL. Moreover, HPWSs attenuated the relationship of perceived overqualification with both work-related boredom and ITL, such that their association was positive only when employees' perceptions of HPWSs were low.

This study adds to the existing literature regarding why and how perceived overqualification affects ITL. Even more, this is one of the first studies that examine the role of HPWSs in the literature of overqualification. Theoretical and practical implications were also considered.

Drawing upon the needs–supplies fit theory, this study aims to examine how the expected and perceived algorithmic autonomy support (AAS) influences platform workers’ work stress and incivility, with a focus on the moderating role of self-direction.

Using data collected from 422 platform workers in China through multiple waves, the model is tested through polynomial regression and response surface analysis.

The results indicate that a mismatch between expected and perceived AAS is associated with higher levels of incivility among platform workers, and this relationship is mediated by work stress. These findings are particularly salient when self-direction is emphasized.

This study suggests that a universally high level of AAS may not necessarily reduce workers’ stress and incivility. Instead, it is important for platforms to ensure that their workers’ expectations of autonomy support are met and for workers to be given the space to exercise self-direction.

Previous studies have highlighted the need to pay attention to workers in mobile and ambiguous environments, and this study adds to this literature by focusing specifically on platform organizations and workplaces. This study provides valuable insights into the relationship between AAS, work stress and platform workers’ incivility.

Drawing on prior research on strengths use and job performance, this study aims to investigate how employees’ strengths use for tasks and strengths use for relationships jointly influence role breadth self-efficacy and subsequent job performance, specifically in- and extra-role performances.

To test the assumptions, the authors methodologically performed a polynomial regression with response surface analysis using data collected from multiple time points and sources (i.e. 312 employee–supervisor dyads in Chinese companies).

The results showed that the higher the congruence between strengths use for tasks and strengths use for relationships, the higher the employees’ role breadth self-efficacy. Employees’ role breadth self-efficacy was greater when both strengths use for tasks and strengths use for relationships were high. Furthermore, the congruence between strengths use for tasks and strengths use for relationships had indirect effects on in- and extra-role performances via role breadth self-efficacy.

This study uniquely contributes to the strengths use literature by offering a more nuanced understanding of the consequences of strengths use for tasks and strengths use for relationships in the Chinese context. It highlights the importance of both types of strengths use for improving employee performance in Chinese organizations. Furthermore, this study provides new theoretical insights into the relationship between strengths use and job performance by ascertaining the mediating effect of role breadth self-efficacy.

The impact of COVID-19 on the educational systems across the globe was characterized by the shutdown of university education systems. In the post COVID-19 era, examining the prospect of on-line education becomes demanding with emphasis on promoting effective and uninterrupted university education sector in Nigeria.

This study employed phenomenological and descriptive research design. The sample size for the study was 15, comprising university lecturers, students and school social workers. In-depth Interview (IDI) interview was the instrument for data collection.

Findings revealed that university education in Nigeria was adversely disrupted by COVID-19 lockdown during the pandemic. Similarly, the study revealed that online education will facilitate effective and uninterrupted university education in post-COVID-19 era. Challenges such as lack of access to laptops, smartphones, reliable internet services, electricity etc. are major obstacles to an effective transition to online education in the post-COVID-19 University education era. The students lamented that poor knowledge of ICT by their lecturers and inclusivity of indigent/disabled students were major concerns.

Revitalizing the education sector is a core concern for low-income countries. Online education presents the lasting solution to the constant interruption of university education in Africa. Promoting effective and uninterrupted university education is pegged on an adequate government education budgetary allocation targeted towards providing an enabling environment for online education to thrive. The study recommends that school social workers' engagement in the educational sector would help advocate for the availability of technological infrastructures and mainstreaming of the poor and disabled in the online education dispensation.

This paper aims to identify and empirically analyze useful and applicable metrics for measuring and managing the sustainability performance of small and medium-sized enterprises (SMEs).

To achieve the objective of the paper, potential metrics were adopted from previous research related to industrial sustainability and an empirical analysis was carried to assess the applicability of the metrics by collecting empirical data from Italian footwear SMEs using a structured questionnaire. The SMEs were selected using a convenience sampling method.

The results of the within-case analysis and the cross-case analysis indicate that the majority of the metrics were found to be useful and applicable to each of the SMEs and across the SMEs, respectively. These metrics emphasized measuring industrial sustainability performance related to financial benefits, costs and market competitiveness for the economic sustainability dimension; resources for the environmental sustainability dimension; and customers, employees and the community for the social sustainability dimension.

Apart from the within-case analysis and cross-case analysis, it was not possible to conduct statistical analysis since a small number of SMEs were accessible to collect empirical data.

The findings of the paper have considerable academic, managerial and policy implications and will provide a theoretical basis for future research on measuring and managing industrial sustainability performance. By providing a set of empirically supported metrics based on the triple bottom line approach (i.e. economic, environmental and social metrics), this paper contributes to the existing knowledge in the field of industrial sustainability performance measurement.

Over the last 2 decades, supply chain sustainability research has become a highly dynamic and fruitful study area. This field has garnered significant attention due to its potential to reshape decision-making processes within supply chains. At the same time, the practical side of supply chain operations remains intensely competitive in today’s business landscape. Furthermore, the current academic research aims to outline effective strategies for achieving sustainability across supply chains, particularly in the manufacturing sector. In response to these challenges, this research has conducted an integrated multi-criteria decision-making approach to evaluate sustainable supply chain performance from the triple bottom line perspective, including financial, environmental, and social performance.

The initial stage involves selecting the crucial criteria (short-term and long-term) and alternatives for sustainable supply chain performance (SSCP) from experts and conducting an in-depth literature review. Initially, there were 17 criteria, but after a pilot test with co-authors and online discussions with experts, the number of criteria was subsequently reduced to 9. In the second phase, the Best-Worst Method (BWM) was applied to rank and prioritize the criteria. The third and final stage examined the causal relationship between the identified criteria, utilizing the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique.

Based on BWM analysis results, the top three criteria in terms of prominence are: (1) return on investment (ROI), (2) product quality, and (3) manufacturing lead time. Out of the three alternatives, financial performance (FP) is the most crucial dimension for SSCP, followed by environmental performance (ENP) and social performance (SP). On the other hand, the DEMATEL approach showed that work health and safety (short-term criterion), asset utilization (long-term criterion), energy consumption (long-term criterion), waste disposal (long-term criterion), manufacturing lead time (short-term criterion), and on-time delivery (short-term criterion) are categorized within the cause group, while criteria such as return on investment (ROI) (long-term criterion), customer-service level (short-term criterion), and product quality (long-term criterion) fall into the effect group.

The proposed study has certain drawbacks that pave the way for future research directions. First, it is worth noting the need for a larger sample size to ensure the reliability of results, the potential inclusion of additional criteria to enhance the assessment of sustainability performance, and the consideration of a qualitative approach to gain deeper insights into the outcomes. In addition, fuzziness in qualitative subjective perception could be imperative when collecting data to ensure its reliability, as translating experts’ perceptions into exact numerical values can be challenging because human perceptions often carry elements of uncertainty or vagueness. Therefore, fuzzy integrated MCDM frameworks are better suited for future research to handle the uncertainties involved in human perceptions, making it a more appropriate approach for decision-making in scenarios where traditional MCDM methods may prove insufficient.

The proposed framework will enable decision-makers to gain deeper insights into how various decision criteria impact SSCP, thus providing a comprehensive evaluation of SSCP that considers multiple dimensions, such as financial, environmental, and social performance within the manufacturing sector.

The proposed study is the first empirical study to integrate both BWM and DEMATEL approaches to evaluate sustainable supply chain performance in the manufacturing context.

With the recent increasing relevance of sustainability, multinational enterprises are faced with divergent stakeholder demands and persistently shifting priorities. This study aims to examine stakeholders’ perceptions of the sustainability performance of a gold mining subsidiary in Ghana.

Using a purposive sampling technique, the authors interviewed managers and employees of the case enterprise, officials of regulatory institutions and host community members on their perceptions of the case enterprise’s sustainability performance. The authors triangulated the opinions expressed by these stakeholders with data from annual reports. The data were analysed through the lens of stakeholder theory.

The authors found that while members of the host community and the regulatory institutions were keenly interested in the case enterprise’s social and environmental activities, they perceived their performance as unimpressive, considering the economic benefits derived from the mining operations. On the contrary, the managers and employees of the case enterprise were satisfied with their environmental compliance and social intervention programmes, even though the company’s economic position had declined. The authors submit that the variations in the sustainability performance perceptions among the stakeholders are due to the lack of a deeper understanding of the other stakeholders’ expectations.

To equitably satisfy diverse stakeholder expectations, the study highlights the role of stakeholder collaborations in understanding the expectations of more salient stakeholder groups such as community members and employees, as well as the lesser salient groups such as academics. It also demonstrates the fluidity of sustainability and its benefits in designing a consensual sustainable management strategy. This implies that managers of the case mining enterprise make the necessary efforts to meet the diverse stakeholder needs while attaining their primary objective of creating wealth for shareholders.

Compared to advanced economies, studies on sustainability performance in emerging economies are limited. Nonetheless, these limited studies leave out stakeholder perceptions, focusing more on quantitative performance indicators. Using thematic and content analyses, the authors investigate stakeholder perceptions on the sustainability performance of a case mining subsidiary operating in Ghana. The study focused on Ghana because it is ranked with South Africa as the top two producers of gold in Africa. Nonetheless, unlike South Africa, Ghana faces more sustainability challenges from the mining sector due to weak institutions in enforcing sustainability standards.

The purpose of this self-study is to analyze my experiences learning in Poland, the country where Nazis imprisoned and murdered my family. I share findings from multiple museum locations, including implications for history teachers, teacher educators and visitors to Holocaust museums.

I participated in a ten-day professional development seminar designed for American teachers to visit Poland. To allow for self-study after the trip, I maintained a reflexive journal and photographic records of each day I was in Poland. I analyze these data in conjunction with publicly available data from the museums and historical sites I visited in Poland.

The findings suggest that teachers can face many challenges when learning in a land of traumatic absences. Many challenges stem from the absences of buildings and survivors, as those may be integral to place-based learning. Testimonies and first-person accounts may ameliorate these challenges for teachers engaging in place-based learning. Additionally, teachers may use these accounts to bring a pedagogy of remembrance from Poland to their classrooms.

This study is not under review with another journal.

How can managers reduce information asymmetry in dyadic manager-external stakeholder relationships in a complex and evolving environment? Addressing this question has significant implications for firm survival, growth, and competitive advantage.

We have adopted a multiparadigm approach to theory building, known as metatriangulation. We integrate the dynamic capabilities, sensemaking, and evolutionary theory literatures to theorize how managers can relate to stakeholders in a complex and evolving environment.

We propose, via a conceptual framework and three propositions, “evolutionary sensemaking” as the managerial metacognitive dynamic capability that helps managers hone their understanding based on the evolutionary changes in the stakeholder’s interpretations of information quality preferences. The framework unfolds across three evolutionary stages: sensing preferences' variation of the stakeholder, seizing preferences, and transforming for complexity alignment and retention. The propositions focus on managing complexity in stakeholder information quality preference, employing cognitive capabilities to simplify, interpret, and align interpretations for effective information asymmetry reduction.

To develop the metacognitive dynamic capability of evolutionary sensemaking, managers need to train for and foster the underlying complex cognitive capabilities by enhancing their (1) perception and attention skills, (2) problem-solving and reasoning skills, and (3) language, communication, and social cognition skills, focusing specifically on reducing the complexity embedded in stakeholder cognition and diverse stakeholder preferences for information quality. Contrary to the current advice to “keep things simple” and provide “more” information to the stakeholders for opportunism reduction, trust-building, and superior governance, our framework suggests that managers hone their cognitive capabilities by learning to deal with the underlying complexity.

The proposed framework and propositions address research gaps in reducing information asymmetry. It enriches the dynamic capabilities literature by recognizing complexity (as opposed to opportunism) as an alternative source of information asymmetry, which needs to be addressed in this stream of research. It extends the sensemaking literature by identifying the complexity sources – i.e. stakeholder preferences for diverse information quality attributes and the associated cognitive preference interpretation processes. The article enhances evolutionary theory by delving into microprocesses related to information asymmetry reduction, which the existing literature does not thoroughly investigate.

This paper addresses the issue of granularity. The authors argue that in routine dynamics research granularity can be usefully defined by the number of actors, the variety of places/contexts, and the amount of time it takes to successfully accomplish an action. This is an important but often overlooked aspect of studying routines. It is important because different granularities imply different challenges and opportunities for performing and patterning. The authors propose a framework to distinguish between fine-, medium-, and coarse-grained actions, illustrate how different granularities have been used in existing routine dynamics studies, and discuss the implications for understanding routine dynamics. The authors conclude that granularity is a key construct that needs to be taken seriously and suggest a four-step procedure to help researchers establish and report on the granularity of actions in their research process.