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Despite the growing interest in blockchain technology (BCT) applications in the agri-food industry, evidence of their economic and strategic implications remains scarce. This study aims to contribute to filling this gap by jointly investigating how BCT adoption affects transactional relationships, and how it contributes to the firm’s strategic resources.

An explanatory case study is conducted based on a theoretical framework grounded on transaction cost economics and the resource-based-dynamic capabilities view. Six BCT implementations by agri-food firms are studied. Data were collected through semi-structured interviews and analysed using thematic analysis.

Findings reveal that BCT benefits depend on how companies integrate technology across their supply chains. In fact, the results suggest that overall transaction efficiency within the supply chain is enhanced only for those firms prioritising stakeholder engagement during technology implementation and leveraging existing trust relationships with economic agents. Moreover, the results suggest that BCT is not yet perceived as a strategic resource, but rather that it has the potential to enhance firms’ operational-adaptive, absorptive and innovative capabilities. When all supply chain actors clearly understand blockchain’s functionality and value, the development of these capabilities becomes more pronounced.

The study identifies two BCT adoption configurations. One primarily focuses on enhancing supply chain efficiency and transparency (dynamic BCT), while the other uses BCT mainly for marketing purposes (static BCT). These configurations lead to varied possibilities for leveraging BCT’s potential advantages. Furthermore, they show how a mismatch between a strategic approach and its chosen configuration could work against any positive impact and lead to disillusionment with the BCT. Thus, managers should assess carefully the impact of such different configuration choices on performance.

To the best of the authors’ knowledge, this is the first study to attempt to analyse the economic implications of adopting BCT in the food sector from both a firm and supply chain perspective. Additionally, it shows how interpreting these impacts is contingent on the diverse modalities for embedding BCT into existing supply chains.

This study aims to identify and understand critical success factors for implementing and sustaining circular economy (CE) practices in manufacturing small and medium-sized enterprises (SMEs). More precisely, this study examines the complex interplay between micro-, meso- and macro-level success factors that are deemed critical for implementing and sustaining CE practices.

The study is based on a two-stage methodology that combines a comprehensive literature review and an interview study with 12 Swedish manufacturing SMEs that implement CE practices.

The study identifies and categorizes success factors for implementing and sustaining CE practices in manufacturing SMEs. Based on the findings, a holistic framework is proposed that takes into account multiple perspectives, i.e. at the micro, meso and macro levels. This framework enables a deeper understanding and thus a more nuanced discussion of the complexity inherent in the transition to a CE from the perspective of manufacturing SMEs.

This study contributes to the growing body of research on CE transition. By focusing on SMEs in particular, the paper adds the needed diversity to the study of CE practices and influencing factors at different levels.

The purpose of this study is to address a critical gap in enterprise resource planning (ERP) implementation process for small and medium-sized enterprises (SMEs) by acknowledging and countering cognitive biases through a cognitive bias awareness matrix model. Cognitive biases such as temporal discounting and optimism bias often skew decision-making, leading SMEs to prioritize short-term benefits over long-term sustainability or underestimate the challenges involved in ERP implementation. These biases can result in costly missteps, underutilizing ERP systems and project failure. This study enhances decision-making processes in ERP adoption by introducing a matrix that allows SMEs to self-assess their level of awareness and proactivity when addressing cognitive biases in decision-making.

The design and methodology of this research involves a structured approach using the problem-intervention-comparison-outcome-context (PICOC) framework to systematically explore the influence of cognitive biases on ERP decision-making in SMEs. The study integrates a comprehensive literature review, empirical data analysis and case studies to develop the Cognitive Bias Awareness Matrix. This matrix enables SMEs to self-assess their susceptibility to biases like temporal discounting and optimism bias, promoting proactive strategies for more informed ERP decision-making. The approach is designed to enhance SMEs’ awareness and management of cognitive biases, aiming to improve ERP implementation success rates and operational efficiency.

The findings underscore the profound impact of cognitive biases and information asymmetry on ERP system selection and implementation in SMEs. Temporal discounting often leads decision-makers to favor immediate cost-saving solutions, potentially resulting in higher long-term expenses due to the lack of scalability. Optimism bias tends to cause underestimating risks and overestimating benefits, leading to insufficient planning and resource allocation. Furthermore, information asymmetry between ERP vendors and SME decision-makers exacerbates these biases, steering choices toward options that may not fully align with the SME’s long-term interests.

The study’s primary limitation is its concentrated focus on temporal discounting and optimism bias, potentially overlooking other cognitive biases that could impact ERP decision-making in SMEs. The PICOC framework, while structuring the research effectively, may restrict the exploration of broader organizational and technological factors influencing ERP success. Future research should expand the range of cognitive biases and explore additional variables within the ERP implementation process. Incorporating a broader array of behavioral economic principles and conducting longitudinal studies could provide a more comprehensive understanding of the challenges and dynamics in ERP adoption and utilization in SMEs.

The practical implications of this study are significant for SMEs implementing ERP systems. By adopting the Cognitive Bias Awareness Matrix, SMEs can identify and mitigate cognitive biases like temporal discounting and optimism bias, leading to more rational and effective decision-making. This tool enables SMEs to shift focus from short-term gains to long-term strategic benefits, improving ERP system selection, implementation and utilization. Regular use of the matrix can help prevent costly implementation errors and enhance operational efficiency. Additionally, training programs designed around the matrix can equip SME personnel with the skills to recognize and address biases, fostering a culture of informed decision-making.

The study underscores significant social implications by enhancing decision-making within SMEs through cognitive bias awareness. By mitigating biases like temporal discounting and optimism bias, SMEs can make more socially responsible decisions, aligning their business practices with long-term sustainability and ethical standards. This shift improves operational outcomes and promotes a culture of accountability and transparency. The widespread adoption of the Cognitive Bias Awareness Matrix can lead to a more ethical business environment, where decisions are made with a deeper understanding of their long-term impacts on employees, customers and the broader community, fostering trust and sustainability in the business ecosystem.

This research introduces the original concept of the Cognitive Bias Awareness Matrix, a novel tool designed specifically for SMEs to evaluate and mitigate cognitive biases in ERP decision-making. This matrix fills a critical gap in the existing literature by providing a structured, actionable framework that effectively empowers SMEs to recognize and address biases such as temporal discounting and optimism bias. Its practical application promises to enhance decision-making processes and increase the success rates of ERP implementations. This contribution is valuable to behavioral economics and information systems, offering a unique approach to integrating cognitive insights into business technology strategies.

The purpose of this study is to present the systematic literature review (SLR) on Lean Six Sigma (LSS) by exploring the state of the art on growth of literature on LSS within the manufacturing sector, critical factors to implement LSS, the role of LSS in the manufacturing sector from an implementation and sustainability viewpoint and Industry 4.0 viewpoints while highlighting the research gaps.

An SLR of 2,876 published articles extracted from Scopus, WoS, Emerald Insight, IEEE Xplore, Taylor & Francis, Springer and Inderscience databases was carried out following the protocol of systematic review. In total, 154 articles published in different journals over the past 10 years were selected for quantitative and qualitative analysis which revealed a number of research gaps.

The findings of the SLR revealed the growth of literature on LSS within the manufacturing sector. The review also highlighted the most cited critical success factors, critical failure factors, performance indicators and associated tools and techniques applied during LSS implementation. The review also focused on studies related to LSS and sustainability viewpoint and LSS and Industry 4.0 viewpoints.

The findings of this SLR can help senior managers, practitioners and researchers to understand the current developments and future requirements to adopt LSS in manufacturing sectors from sustainability and Industry 4.0 viewpoints.

Academic publications in the context of the role of LSS in various research streams are sparse, and to the best of the authors’ knowledge, this paper is one of the first SLRs which explore current developments and future requirements to implement LSS from sustainability and Industry 4.0 perspective.

International assignments are not just opportunities for career advancement but also for personal growth and exploration. This paper, by capturing the changing expectations and success parameters across the assignments, is a timely and relevant resource for individuals navigating the complexities of international careers. In addition, the paper aims to help organizations build policies for enabling successful assignments for international assignees and managers.

Our research took a unique two-pronged approach to understanding the success parameters of international assignments. We first interviewed 16 managers to understand the success parameters they set for expatriates. Then, we interviewed 19 international assignees to explore their choices and how they defined success in their international experiences.

Our comprehensive research, based on 35 interviews with international assignees and their supervisors, reveals that an assignment's success evolves with different stages of the assignment, over the assignments that the assignees choose, and varies according to the intent of the mobility.

This paper makes a significant contribution to the field of cross-cultural management and international assignments. By discussing the evolving definition of success across various international assignments, it not only provides valuable insights for expatriates in their international careers but also to managers to build aligned policies and practices.

This study aims to analyse the motivations and underlying assumptions of decision makers driving the adoption of sustainability-oriented targets in executive compensation (SCTs) to better understand SCTs’ impact on sustainability performance.

Through a qualitative approach, 15 in-depth interviews are conducted in a two-tier governance setting. Participants include management and supervisory board members, compensation consultants and other stakeholders involved in proxy voting.

SCT implementation is primarily determined by meeting shareholders’ expectations rather than those of other stakeholders. Decision makers react in a differentiated way to increased expectations by implementing either primarily symbolic or substantive measures and encounter different implementation challenges like insufficient data quality and a lack of experience within supervisory boards, both of which potentially contribute to decoupling.

The study offers valuable insights for companies in designing SCTs and emphasises the significance of addressing decoupling to effectively enhance sustainability performance through SCTs and provides a foundation for future studies aimed at analysing this phenomenon.

Using a neo-institutional theory lens, this study marks one of the first interview-based investigations to distinguish between symbolic and substantial SCTs. It delves deeply into the role of decoupling and the associated challenges, offering fresh perspectives within the under-researched framework of a two-tier corporate governance structure. Moreover, this study aims to meticulously capture the real-world design practices and implementation processes of SCTs through experts, an aspect that was emphasised as a limitation in previous studies.

Civil service workers are valuable resources for any nation and play a crucial role in driving their country’s economic development. Per the supervisor, this research examines the impact of mindfulness, proactive personality, and career competencies on employee job performance. The study also analyzes the effects of career adaptability and identity on this aspect.

To test the model of this study, questionnaires were administered to a sample of 500 civil service employees whose career-based knowledge and skills were measured in various cities in the province of Punjab, Pakistan.

Mindfulness and career competencies significantly impact supervisor-rated task performance, whereas a proactive personality does not substantially relate to supervisor-rated task performance. Research indicated that the two hypotheses about mediation were accepted. However, career adaptability does not play a significant role in the link between mindfulness and how well a supervisor rates task performance. Regarding moderation, career identity did not significantly moderate the relation between proactive personality and supervisor-rated task performance. However, the other two moderate hypotheses have been proven to be significant.

The findings offer compelling support for career construction theory (CCT) in this study area by analyzing the connections related to career adaptability and identity within the framework. In the future, researchers can build on this model by adding theories like conservation of resources (COR), looking into possible moderators that might change specific pathways in this network of relationships and using longitudinal designs to find stronger causal relationships.

Considering the evolving workplace due to the COVID-19 pandemic, the study offers fresh perspectives on the post-COVID situation, understanding and integrating various variables. For future studies, more variables can be explored in this model with the expansion of sample size and change of context.

The aim of this study is to investigate the influence of Project Management Office (PMO) functions on project performance in businesses in Lower Middle-Income Countries (LMIC) using Partial Least Square–Structural Equation Modelling (PLS–SEM).

Utilizing close-ended questionnaires in a cross-sectional survey, 256 project professionals from 10 business sectors in Ghana views were elicited. The questions were developed through a comprehensive literature review and involved 27 PMO functional measures grouped into 6 and 19 project performance measures grouped into 6. Data collected was then analysed using the PLS–SEM to validate the hypothetical relationship.

The PLS–SEM model supported 13 (t > 1.65) out of 36 hypotheses investigating the relationship between PMO functions and project performance. Variations in the PMO functions moderately (R2 = 0.34) explained the performance of projects. The aggregate activities of the PMO had the highest significant influence on environmental performance (R2 = 0.467). The topmost PMO function was identified as monitoring and controlling project performance, and it was significantly associated with cost (ß = 0.265, p < 0.05), quality (ß = 0.291, p < 0.05) and project scope (ß = 0.265 p < 0.05) performance.

This research has brought more illumination to the functions of PMOs and its influence on project performance. The results suggest that PMO activities, when tailored to the business context, can significantly change project performance variables.

Most research on PMO and project performance has been limited to developed countries or a single sector. This study uniquely expands the business sectors and focuses on LMICs.