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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.

Organizations are full of contradictions and leadership dilemmas. Managers often face challenges such as selecting between two contradicting options such that which one is more important can hardly be judged. To manage contradicting dynamics, today’s managers can adopt the paradoxical leadership approach. We build a theoretical model to investigate the influence of paradoxical leadership on multi-dimensional project agility (proactivity, adaptability, and resilience), and multi-dimensional project success (management, investment, and ownership success).

Drawing on survey-based data from the China–Pakistan Economic Corridor (CPEC) megaproject (N = 209), we performed covariance-based structural equation modeling to test the conceptual model.

The findings show that (1) paradoxical leadership has a significant positive impact on megaproject success, (2) paradoxical leadership has a significant positive influence on project agility, (3) project agility has a significant positive effect on megaproject success, and (4) project agility has a significant effect that mediates the link between paradoxical leadership and megaproject success. This research provides a theoretical and practical comprehension of paradoxical leadership with a new perspective on megaprojects.

This study provides an extension of the existing studies on paradoxical leadership and identifies the role of contradicting dynamics and their impact on multiple facets of megaproject success. It not only clarifies the relationship between paradoxical leadership and megaproject success, but also identifies the mediating role of project agility that can play an effective role in mobilizing success in megaprojects.

An AI concierge is a technologically advanced, intelligent and personalized assistant that is designated to an individual customer, proactively taking care of that customer’s needs throughout the service journey. This article envisions the idea of AI concierges and discusses how to leverage AI concierges in the customer journey.

This article takes a conceptual approach and draws insights from literature in service management, marketing, psychology, human-computer interaction and ethics.

This article delineates the fundamental forms of AI concierges: dialog interface (no embodiment), virtual avatar (embodiment in the virtual world), holographic projection (projection in the physical world) and tangible service robot (embodiment in the physical world). Key attributes of AI concierges are the ability to exhibit semantic understanding of auditory and visual inputs, maintain an emotional connection with the customer, demonstrate proactivity in refining the customer’s experience and ensure omnipresence through continuous availability in various forms to attend to service throughout the customer journey. Furthermore, the article explores the multifaceted roles that AI concierges can play across the pre-encounter, encounter and post-encounter stages of the customer journey and explores the opportunities and challenges associated with AI concierges.

This paper provides insights for professionals in hospitality, retail, travel, and healthcare on leveraging AI concierges to enhance the customer experience. By broadening AI concierge services, organizations can deliver personalized assistance and refined services across the entire customer journey.

This article is the first to introduce the concept of the AI concierge. It offers a novel perspective by defining AI concierges’ fundamental forms, key attributes and exploring their diverse roles in the customer journey. Additionally, it lays out a research agenda aimed at further advancing this domain.

The purpose of this study is to investigate how social capital resources (SCRs), proactive personality and perceived organizational support (POS) influence work engagement during the organizational socialization process through the lens of self-determination theory (SDT).

Drawing upon a sample of newly hired employees from diverse industries, data was collected using self-report measures. A total of 619 respondents’ data were qualified for analysis. Regression analysis and structural equation modeling with the bootstrap method were used for hypothesis testing.

Results indicate that newcomers who used effective organizational socialization tactics (OSTs) experienced higher levels of work engagement. Moreover, SCRs were crucial in shaping the relationship between OSTs and work engagement. Specifically, newcomers with greater SCRs exhibited increased work engagement, enhancing effective OSTs’ positive impact. Furthermore, proactive personality and POS traits moderate the relationship between SCRs and work engagement. Newcomers with a proactive personality were more likely to leverage their SCRs, leading to higher work engagement effectively.

This study underscores the importance of promoting social connections, organizational support, proactivity and positive relationships to enhance employee work engagement and overall well-being in the Pakistani context.

This study examines how SCRs, proactive personality and POS influence work engagement during organizational socialization, a novel area in newcomer adjustment. It highlights the importance of strategic socialization and targeted onboarding programs that enhance SCRs and proactive personalities. By integrating SDT with the cultural context of Pakistani organizations, it offers unique insights for improving newcomer adjustment and engagement.

This paper aims to unravel the relationship between market-driven impacts of climate change and firms’ deployment of renewable energy (RE) innovation. The purpose is to understand how market-related forces, influenced by uncertainty, shape firms’ behaviour in response to climate change challenges.

Drawing on the behavioural theory of the firm (BTOF), the paper develops a conceptual model to decode the relationship between each category of market-driven impacts and the resulting RE innovation within firms. The model takes into account the role of uncertainty and differentiates between multinational enterprises (MNEs) and domestic firms.

The analysis reveals five key sources of market-driven impacts: investor sentiment, media coverage, competitors’ adoption of ISO 14001, customer satisfaction and shareholder activism. These forces influence the adoption of RE innovation differently across firms, depending on the level of uncertainty and the discrepancy between environmental performance and aspiration level.

This paper contributes to the literature in four ways. Firstly, it emphasises the importance of uncertainty associated with market-driven impacts, which stimulates different responses from firms. Secondly, it fills a research gap by focusing on the proactivity of firms in adopting RE innovation, rather than just operational strategies to curb emissions. Thirdly, the paper extends the BTOF by incorporating the concept of uncertainty in explaining firm behaviour. Finally, it provides insights into the green strategies of MNEs in the face of climate change, offering a comprehensive model that differentiates MNEs from domestic firms.

This research aims to understand the primary challenges encountered by entrepreneurs operating in emerging economies, where entrepreneurship plays a vital role. The study places a particular emphasis on entrepreneurs in Brazil.

The research methodology involved the analysis of data obtained from interviews, using both content analysis and Grey Relational Analysis techniques.

The analysis revealed several prominent difficulties that entrepreneurs face in these domains. These challenges encompassed issues such as grappling with intricate taxation systems and the associated tax burden, navigating government bureaucracy, securing access to essential financing and initial investments, contending with the absence of supportive government programs and addressing the dynamic nature of market conditions. The findings on the most critical barriers reveal potential pathways for entrepreneurs, policymakers and universities to act in developing the entrepreneurial ecosystem in emerging economies.

The insights garnered from this research have the potential to inform the formulation of robust public policies aimed at fostering entrepreneurship and innovation in emerging countries. Furthermore, these findings can serve as a valuable resource for planning initiatives designed to train engineers to become successful entrepreneurs.

Based on action regulation theory (ART), this study aims to test the impact of individual entrepreneurial orientation (IEO) training on small business owner career success (financial attainment, satisfaction and achievement). Moreover, this relationship was unpacked through a dual mediation model of IEO behaviour and career resilience.

A four-wave, longitudinal randomized controlled field experiment was conducted in which 527 small business owners participated from Lahore, Pakistan (training group = 256, control group = 271). The data analysis was done via ANCOVAs (group comparison) and PROCESS Model 6 (for serial mediation).

The results demonstrated that after getting IEO training, the small business owners had increased IEO behaviour, career resilience and career success as compared to their counterparts in the control group. In addition, the effect of IEO training on career success was attributed to the underlying role of IEO behaviour and career resilience development.

This is one of the few studies that have demonstrated the impact of IEO training on the career-related outcomes based on the action regulation perspective.

This study investigated whether job resources (i.e. strengths use support, career self-management and person–job [PJ] fit) moderate the relationship between perceived involvement in a career accident (PICA) and work engagement.

The study adopted a time-lagged design (N = 398; 69% male), and data were collected at two-point of measurements among Nigerian university academics.

Results of the present study indicated that employees with higher PICA scores reported low work engagement. Strength use support had significant direct positive main effects on employee work engagement and also produced a significant moderation effect between PICA and work engagement. Career self-management (CSM) was positively related to employee work engagement. The moderation effect of CSM on the relationship between PICA and work engagement was also significant. Results of the present study further indicated that P-J fit was related positively to work engagement and also moderated the negative relationship between PICA and work engagement.

Dearth of employment opportunities has led individuals to choose their career by chance, but empirical studies that validate this assertion are lacking. Few available studies on career accident were exclusively conducted in Western European contexts. The current study therefore deepens the understanding of career accident and work engagement in a neglected context such as Nigeria.

Grounded on trait activation and social learning theories, this study aims to examine the effects of bottom-line mentality (BLM) and perceived abusive supervisory behaviour on proactive employee work behaviour and employee bottom-line mentality (EBLM) in micro-, small- and medium-sized enterprises (MSMEs) in Ghana. The moderating effects of relational attachment on how abusive supervisory behaviour relates to employee proactive work behaviour (PWB) and BLM were examined.

The study was based on a quantitative approach. An online questionnaire was used in a cross-sectional survey to elicit data from 643 conveniently sampled employees. Structural equation modelling was used to analyse the data.

The results support the proposition that owner-manager bottom-line mentality (OMBLM) positively and significantly predicts abusive supervision. The findings also revealed that owner-manager abusive supervisory behaviour significantly predicts employee PWB and EBLM. While the moderating effect of relational attachment on the relationship between perceived owner-manager abusive supervisory behaviour and EBLM is positive and significant, its effect on perceived owner-manager abusive supervisory and proactive employee work behaviour relationship was positive but insignificant.

The authors studied owner-manager abusive supervisory behaviour to understand how OMBLM relates to proactive employee work behaviour and EBLM among MSMEs in Ghana. The study sets the tone to investigate further the impact of OMBLM and the functional effect of owner-manager abusive supervisory behaviour on manager–employee relationships and outcomes among MSMEs in emerging economies.

Drawing on the socioemotional selectivity theory and the volunteerism literature, this study aims to examine the influence of empathy, altruism and opportunity recognition, on social entrepreneurial intentions (SEI) of people who have retired from a full-time career. Furthermore, the study examines whether the above-mentioned relationships are mediated by moral obligation.

A set of hypotheses is tested by applying partial least squares structural equation modelling on a survey sample of 227 retirees in Oman, who had participated in an entrepreneurial leadership training after retirement. Using SmartPLS software, the path model is tested through bootstrapping.

The findings suggest that altruism and opportunity recognition do not have a direct relationship with SEI, however, they are significant only when mediated through moral obligation. Nevertheless, empathy has a significant direct association with SEI, and an indirect relationship through moral obligation.

The findings of this study demonstrate that to develop intentions to indulge in social entrepreneurship, among retirees who are approaching their senior years, the focus should be on driving their sense of moral obligation to society. Hence, policymakers and authorities connected to social wellbeing goals can fine-tune their initiatives, such as training, by emphasizing on moral obligation to address social issues through social entrepreneurship.

The novelty of this study is twofold. Firstly, to the best of the authors’ knowledge, it seems to be among the first empirical study that is at the crossroads of the senior entrepreneurship and the social entrepreneurship literature. Secondly, this study fills a gap in the extant literature by deploying the socioemotional selectivity theory to examine the antecedents of SEI of people who have retired from full-time employment in their early to late senior years.