Search results

To address the absence of Lean in transportation logistics in the digital era, this study aims to investigate the application of Lean transportation (LT) tools to reduce waste and facilitate the digital transformation of dedicated road transportation in the offshore industry.

The study adopts action research with a multimethod approach, including a scoping review, focus groups (FG) and participant observation. The research is conducted within the offshore supply chain of a major oil and gas company.

Implementing LT’s continuous improvement tools, particularly value stream mapping (VSM), reduces offshore transportation waste and provides empirical evidence about the intersection of Lean and digital technologies. Applying techniques drawn from organisational learning theory (OLT), stakeholders involved in VSM mapping and FGs engage in problem-solving and develop action plans, driving digital transformation. Waste reduction in loading and unloading stages leads to control actions, automation and process improvements, significantly reducing downtime. This results in an annual monetary gain of US$1.3m. The study also identifies waste related to human effort and underutilised digital resources.

This study contributes to theory and practice by using action research and LT techniques in a real intervention case. From the lens of OLT, it highlights the potential of LT tools for digital transformation and demonstrates the convergence of waste reduction through Lean and Industry 4.0 technologies in the offshore supply chain. Practical outputs, including a benchmarking questionnaire and a plan-do-check-act cycle, are provided for other companies in the same industry segment.

By extending corporate social responsibility research to a megaproject context, the purpose of this study is to examine the effect of megaproject external social responsibility (SR) on community acceptance through the mediating role of public trust.

Drawing from legitimacy theory as well as corporate social responsibility literature, this study developed hypotheses linking the constructs of SR, (public) trust and community acceptance of a megaproject. Thereby, a household survey questionnaire was administered to collect data from randomly selected 328 households in the local community who reside near the construction site of a mega hydropower project in Ethiopia. Guided by structural equation modelling, Smart Partial Least Squares4 (SmartPLS4) was utilized to analyze the data.

The empirical findings show that community-targeted SR has a significant positive effect on community acceptance of a megaproject, whereas the direct effect of natural environment-targeted SR on community acceptance was found to be non-significant. More importantly, the study reveals that trust in the contractor of the megaproject mediates the relationships between a megaproject SR (fully in the case of the natural environment and partially for community-targeted responsibility) and community acceptance.

The present study contributes to legitimacy theory by illustrating the consequences of megaproject external SR in terms of trust and community acceptance, an issue which has not received adequate attention in the project management literature.

The study aims to present a systematic literature review (SLR) to understand the current status of research on social media usage among the bottom of the pyramid (BOP). The purpose of this study is to identify the research gaps in this domain and review future research agendas by using theory, context, characteristics and methods [TCCM] framework.

An SLR, keywords co-occurrence and TCCM analysis were used to analyse and synthesize insights from 44 studies gained from Web of Science and Scopus databases.

The findings suggest that the USA and India are popular contexts for studying BOP. The BOP population uses social media to gain utilitarian, hedonic and social values. Further, social media can help BOP explore “entrepreneurship” opportunities, value co-creation and bring innovations.

This study expands the intellectual boundaries of social media at BOP and suggests multidisciplinary research. Additionally, adopting novel theoretical lenses helped determine social media's impact on BOP.

This study aims to empirically test the influence of customer perceptions of employee emotional labour (CPEL) and customer emotional labour (CEL) on perceived service quality, satisfaction with service and repurchase intentions in luxury retail. It further examines the moderating role of perceived customer interactivity in the relationships among CPEL, CEL and service outcomes.

An online survey of 249 customers with experience in offline luxury service interactions was conducted. Statistical analyses and hypothesis testing were performed using SPSS and AMOS.

This study highlights the critical role of customer perceptions of employee deep acting and customer surface acting in shaping perceived service quality. It demonstrates that customers’ efforts to regulate their emotions, similar to employees’ efforts, significantly affect service outcomes. Additionally, the results suggest that perceived customer interactivity significantly moderates only the relationship between CEL and service satisfaction.

By exploring emotional labour from the customers’ perspective within the luxury retail sector, this study offers novel insights into service quality management. It extends the theoretical framework of emotion regulation theory to this context, offering practical implications for enhancing service experiences in developing luxury markets.

The healthcare system in the Philippines has insufficient patient and personnel management, inefficient inventory systems and disorganized medical record-keeping, contributing to unsatisfactory patient care. This occurrence calls for a centralized database, like enterprise resource planning (ERP) systems that manage healthcare systems efficiently. This study utilized partial least squares-based structural equation modeling and random forest classifier (RFC) to identify the factors influencing the adoption of ERP systems in secondary healthcare institutions.

The study proposed an extended unified theory of acceptance and use of technology framework integrated with the valence model to define behavioral intention and use behavior of ERP systems. A self-administered online survey was answered by 250 secondary healthcare stakeholders in the Philippines voluntarily.

Effort expectancy, performance expectancy and social influence result in a very high behavioral intention, leading to the use behavior of ERP systems, while facilitating conditions and innovativeness in information technology led to high significance. Price value and perceived benefits are significant factors. RFC was proven reliable in predicting the factors, with an accuracy of 96%, indicating that the proposed framework can be used in future research to examine enterprise system adoption in different healthcare facilities.

There has yet to be a study that covers ERP in the Philippines, let alone its adoption. Since the ERP system is relatively present for a certain period of time, its adoption among healthcare facilities has not been covered in the Philippines. This study is the first to decipher and understand the ERP adoption and its practical implications.

The importance of key account management (KAM) as a management technique in business-to-business markets has grown in recent years. The success of KAM programmes is highly dependent on the efforts of individual employees, specifically key account managers. Research on KAM at an individual level is important but lacking in the academic domain. This study aims to fill this gap by developing and evaluating a model of key account manager personality traits and how they impact the adoption of artificial intelligence (AI) technologies. The study also depicts the effect of the adoption of AI technologies on competitive advantage and firm performance.

The study examines how the adoption of AI technologies impacts firms’ competitive advantage and performance. The study used competitive advantage as a mediator and organisational culture as a moderator. A mixed-method analysis was used to conduct the study. In the first phase, an exploratory study was conducted using interviews with 26 key account managers from the automobile industry and thematic analysis to establish 9 constructs. In the second phase, which is a confirmatory study, 496 respondents finally responded to the questionnaire.

All constructs are used for confirmatory analysis and validate the data. Our research shows that key account managers’ adoption of AI technologies is influenced significantly by personality traits. Extraversion, agreeableness, conscientiousness, neuroticism and openness have substantial links to adopting AI technologies, which impacts firms’ competitive advantage and performance. Organisational culture significantly moderates the association between agreeableness and the adoption of AI technologies.

The findings of this research allow organisations to optimise team composition, customise training programs based on individual traits and incorporate personality assessments into recruitment processes for streamlined technology adoption and improved competitiveness. Overall, these actions aim to enhance AI integration, driving competitive advantage and client satisfaction.

This study stands out as one of the limited inquiries examining how the Big-five personality traits of key account managers influence the integration of AI technologies and its resulting impact on company performance. Therefore, this research makes notable contributions to the realms of organisational psychology and technology adoption studies.

Based on the theory of identity, this paper aims to examine the centrality role of entrepreneurs’ identity in the prevalence of the entrepreneurial process in online platforms. Identity is a kind of internal energy that stimulates the neurons of entrepreneurs. Thus, leveraging identity effectively in the digital business cycle is a global challenge of paramount importance.

This study uses a quantitative approach, specifically the covariance-based structural equation modeling method, to examine data collected from a sample of 153 entrepreneurs operating on social media platforms.

The findings highlight the positive impact of social media on entrepreneurs’ identities, revealing three distinct identity types: digital identity, social identity and entrepreneurial identity. However, only entrepreneurial and social identities emerge as significant factors in sustaining the entrepreneurial process. Entrepreneurs operating on online platforms strive for recognition as entrepreneurs while also cultivating trust-based relationships with social media users. This recognition and trust contribute to the overall success of their entrepreneurial endeavors.

Identity centrality in the entrepreneurial process presents itself as a highly sophisticated tool to help young entrepreneurs on social media platforms to identify, construct and even harmonize the different identities they may adopt to adapt to the challenges and opportunities of entrepreneurship. In fact, social media provide several opportunities that foster entrepreneurial aspirations and provide a fertile ground for shaping entrepreneurs’ identities, ensuring the success of their entrepreneurial ventures. The emerging generation of entrepreneurs should prioritize cultivating their entrepreneurial and social identities while maintaining an acute awareness of the importance of having a coherent and relevant online presence.

The results of this study significantly elucidate the mechanisms governing identity formation and its dynamics’ influence on the development of entrepreneurship on social media.