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This study examined the factors influencing willingness-to-repurchase for each class of airline service, and integrate the constructs of service quality, satisfaction and willingness-to-repurchase which were rooted on Engel-Kollat-Blackwell (EKB) model. The study focuses on the domestic and international arrival of passengers at Murtala Muhammed International Airport in Lagos and Nnamdi Azikwe International Airport in Abuja. Information was gathered from domestic and foreign passengers who had post-purchase experience and had used the airline's services more than once. The survey data were obtained concurrently from arrival passengers at two major international airports using an electronic questionnaire through random and purposive sampling techniques. The data was analysed using the ordinal logit model and structural equation model. From the 606 respondents, 524 responses were received but 489 responses were valid for data analysis and reporting and were obtained mostly from economy and business class passengers. The study found that the quality of seat pitch, allowance of 30 kg luggage permission, availability of online check-in 24 hours before the departing flight, quality of space for legroom between seats, and the quality of seats that can be converted into a fully flatbed are the major service factors influencing willingness-to-repurchase economy and business class tickets. Also, it was found that passengers' willingness to repurchase is influenced majorly by service quality, but not necessarily influenced by satisfaction. These results reflect the passengers' consciousness of COVID-19 because the study was conducted during the heat of COVID-19 pandemic. Recommendations were suggested for airline management based on each class.

Understanding employees’ multi-dimensional motivations is at the core of realizing the potential of a well-designed human resource (HR) system. This study aims to investigate whether the effects of HR practices on employee motivations, and their performance would be dependent on the service orientation of HR department.

The authors collected data in two surveys: a pilot survey and a main survey with a two-wave design. The pilot survey with 93 respondents was to verify the newly developed HR service orientation scale. In the main survey, a total of 276 supervisor-subordinate pairs from 48 companies were valid for analysis.

The authors find support for their hypothesis that promotion-oriented motivation mediates the relationship between discretionary HR practices and employee outcomes [in-role performance and organizational citizenship behavior (OCB)]. Furthermore, the indirect effect of discretionary HR practices on employee outcomes is stronger when the HR service orientation is higher. Transactional HR practices, however, are not evidenced to relate to employee prevention-focused motivation and outcomes.

The findings illustrate a comprehensive process of HR practices on employees’ multi-dimensional motivations. High service skills of HR professionals in handling internal employees’ needs could amplify employees’ promotion-focused motives, which in turn increase their in-role performance and OCB.

In sum, the authors' study contributes to both human resource management (HRM) and employee motivation literature by demonstrating the different impacts of discretionary and transactional HR practices on employees’ motivations. In addition, by revealing HR service orientation as an important contingency factor, the authors shed greater light on when and how HR practices can motivate employees.

This study aims to provide empirical evidence on the linkage between knowledge management (KM), intellectual capital (IC), planning effectiveness (PE) and innovation performance in Italian small and medium-sized enterprises (SMEs).

Survey data from 172 Italian SMEs was collected through an online questionnaire and analyzed using structural equation modeling (partial least square).

Results show that KM practices have a positive direct impact on each IC component which influences PE. Finally, structural capital and PE have a positive direct impact a firm’s ability to innovate.

For researchers, this paper fills an important gap in the academic literature by conceptualizing and empirically testing the link between IC and PE. The main practical implication of this study is that developing intangible resources is of particular importance for strategic decision-making in SMEs. The focus on Italian SMEs limits the generalizability of the results.

This study provides empirical evidence on how KM and IC interact and mutually drive PE. Second, results shed light on the importance of IC to enhance a firm’s ability to reach its goals. Finally, the focus on SMEs enriches the extant literature in the field confirming the vital role of KM and IC in managerial decision-making.

Despite the vast potential of mobile phone use, grape smallholder farmers’ satisfaction with mobile phone use has attracted insufficient attention among scholars in Tanzania. The study examined factors influencing satisfaction with mobile phone use for accessing agricultural marketing information.

The study used a cross-sectional research design and a mixed research method. Structured questionnaire and focus group discussions were used to collect primary data from 400 sampled grape smallholder farmers. Data were analysed inferentially involving two-way analysis of variance, ordinal logistic regression and thematic analysis.

The findings indicate a statistically significant disparity in grape smallholder farmers’ satisfaction across different types of agricultural marketing information. Grape smallholder farmers exhibited higher satisfaction levels concerning information on selling time compared to all other types of agricultural marketing information (price, buyers, quality and quantity). Factors influencing grape smallholder farmers’ satisfaction with mobile phone use were related to perceived usefulness, ease of use, experience and cost.

This study contributes to scientific knowledge by providing actionable insights for formulating unique strategies for smallholder farmers’ satisfaction with agricultural marketing information.

This paper aims to examine the relationship between organizational learning (OL) and technology through the lens of strategic factors and to ascertain future research directions.

The systematic literature review method was applied in three stages to the 76 articles obtained from Scopus, Web of Science, Google Scholar and EBSCO databases.

This research revealed the evolution of the role of OL in innovation, performance, knowledge management and technological adoption and showcases a detailed conceptual model relating technology outcomes (technological innovation and capabilities) to OL outcomes (technology absorptive capacity, technological proactivity, as well as information technology [IT] and organization process alignment).

This review includes articles mainly in English and excludes conference proceedings.

This research attempts to guide managers and policymakers to foster an organizational culture conducive to technological adoption and OL. It helps organizations develop strategies for new product development, including strategic alliances and strategic leadership.

This review formalizes the linkages between technological absorptive capacity, technological proactivity and IT with technological innovation and capabilities. It identifies research gaps and elucidates future research directions.

This study aims to discuss the state-of-the-art digital factory (DF) development combining digital twins (DTs), sensing devices, laser additive manufacturing (LAM) and subtractive manufacturing (SM) processes. The current shortcomings and outlook of the DF also have been highlighted. A DF is a state-of-the-art manufacturing facility that uses innovative technologies, including automation, artificial intelligence (AI), the Internet of Things, additive manufacturing (AM), SM, hybrid manufacturing (HM), sensors for real-time feedback and control, and a DT, to streamline and improve manufacturing operations.

This study presents a novel perspective on DF development using laser-based AM, SM, sensors and DTs. Recent developments in laser-based AM, SM, sensors and DTs have been compiled. This study has been developed using systematic reviews and meta-analyses (PRISMA) guidelines, discussing literature on the DTs for laser-based AM, particularly laser powder bed fusion and direct energy deposition, in-situ monitoring and control equipment, SM and HM. The principal goal of this study is to highlight the aspects of DF and its development using existing techniques.

A comprehensive literature review finds a substantial lack of complete techniques that incorporate cyber-physical systems, advanced data analytics, AI, standardized interoperability, human–machine cooperation and scalable adaptability. The suggested DF effectively fills this void by integrating cyber-physical system components, including DT, AM, SM and sensors into the manufacturing process. Using sophisticated data analytics and AI algorithms, the DF facilitates real-time data analysis, predictive maintenance, quality control and optimal resource allocation. In addition, the suggested DF ensures interoperability between diverse devices and systems by emphasizing standardized communication protocols and interfaces. The modular and adaptable architecture of the DF enables scalability and adaptation, allowing for rapid reaction to market conditions.

Based on the need of DF, this review presents a comprehensive approach to DF development using DTs, sensing devices, LAM and SM processes and provides current progress in this domain.

This paper investigates the ways managing directors (MDs) in small and medium-sized enterprises (SMEs) involve employees in strategic conversations. The paper examines how managers interact with employees in strategic conversations, and why the managers do so (or do not), to generate empirically grounded knowledge about the nature of internal openness in SMEs.

This study employs a general inductive approach and is based on in-depth interviews with 60 Swedish MDs with development and growth ambitions.

The paper develops a model of employee involvement in strategic conversations based on the nature and intensity of the MD–employee interaction. A key finding is that SMEs exhibit wide variation in terms of employee involvement, from virtually no employee involvement to, in some cases, far-reaching company democracy. The reasons for this variation are complex, but personal preferences and company size are shown to have an impact, as does, to some degree, ownership structure. In contrast to existing research, the limitations and drawbacks of involving employees in strategic conversations are outlined.

The study provides important insight into MDs' views and practices of internal openness in strategic conversations in SMEs. A model of employee involvement in strategic processes is outlined, and potential limitations of internal openness are highlighted.

Intellectual capital (IC) plays a crucial role in today’s volatile business landscape, yet its measurement remains complex. To better navigate these challenges, the authors propose the Integrated Intellectual Capital Measurement (IICM) model, an innovative, robust and comprehensive framework designed to capture IC amid business uncertainty. This study focuses on IC measurement models, typically reliant on secondary data, thus distinguishing it from conventional IC studies.

The authors conducted a systematic literature review (SLR) and bibliometric analysis across Web of Science, Scopus and EBSCO Business Source Ultimate in February 2023. This yielded 2,709 IC measurement studies, from which the authors selected 27 quantitative papers published from 1985 to 2023.

The analysis revealed no single, universally accepted approach for measuring IC, with company attributes such as size, industry and location significantly influencing IC measurement methods. A key finding is human capital’s critical yet underrepresented role in firm competitiveness, which the IICM model aims to elevate.

This is the first SLR focused on IC measurement amid business uncertainty, providing insights for better management and navigating turbulence. The authors envisage future research exploring the interplay between IC components, technology, innovation and network-building strategies for business resilience. Additionally, there is a need to understand better the IC’s impact on specific industries (automotive, transportation and hospitality), Social Development Goals and digital transformation performance.

This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.

A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.

The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.

This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.

Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.

This study aims to identify the key factors that influence the intention and behavior of Chinese consumers toward purchasing organic food. The extended theory of planned behavior (TPB) model is adopted as the underlying theory to explore the relationship between attitudes (ATT), subjective norms (SN) and perceived behavioral control (PBC) on consumers’ intention and behavior to buy organic food. Trust (TR) and the moderating role of short food supply chain preferences (SFSCPs) were integrated to address the research gap.

Three hundred three questionnaire responses were received from organic food buyers in China using a convenience sampling method. Structural equation modeling was used to analyze the data and to examine the relationship between the various constructs.

The results demonstrated that the purchase intention (PI) of Chinese consumers correlates positively with ATT, SN, PBC and TR. Additionally, the results show that consumers’ SFSCPs positively moderate the relationship between PI and purchase behavior (PB).

The findings of this study provide valuable insights for marketers to develop compelling messages that evoke positive ATT, establish consumer TR and integrate short food supply chains to drive PB. The study can also be useful to policymakers and other supply chain participants.

An increased understanding of the factors influencing Chinese organic food consumption can contribute to promoting healthier food choices, supporting sustainable agriculture and fostering environmentally friendly consumption habits.

This research contributes to the existing pool of knowledge by incorporating TR into the conventional TPB. The study also introduces SFSCP as a moderating variable on the relationship between PI and PB.