Search results

This paper aims to discuss a foresight study conducted in Singapore’s national R&D agency to help science and technology decision makers identify key capability areas of R&D investment to support the manufacturing industry’s growth in the country and the region.

Using horizon scanning, scenario analysis and expert opinion, nine capabilities are identified as core areas to be developed to support the country’s future growth of product-service systems.

The results of a Delphi survey involving 30 industry and academic thought leaders recommend priorities of these capabilities. This paper concludes with a discussion of the study implications for theory, research and practice in the domain of servitisation and product-service systems.

The foresight study presented here on the future of servitisation in Singapore demonstrates one of the first fully fledged applications of foresight in constructing a coherent vision of future product-service system markets. In this study, the authors applied systemic foresight methodology (SFM) comprising the first six phases: initiation (scoping), intelligence (scanning), imagination (scenarios), integration (priorities), interpretation (strategies) and implementation (action).For future research, an ideal step would be to proceed with the final phase of the SFM, impact, to develop indicators for servitisation and to monitor and evaluate the transition process.

Manufacturing and services are no longer distinct concepts with a clear divide. Manufacturing firms not only become more service dependent but also produce and provide services for their consumers. This transformation towards servitisation implies fundamental re-organisation of the production and management practices. Furthermore, through new business models, new and loyal customers will be gained, which will in turn bring additional income, while making the companies less prone to economic and business fluctuations.

The results of this study have practical implications for policymakers of public and private sectors that are interested in playing a key role in future product-service system innovation. These have implications for developing the human and intellectual capital that are required for supporting the future innovation. Institutes of higher learning and vocational institutes should also consider incorporating new curricula and modules to build the capabilities for knowledge creation and transfer.

The findings of the present study on strategic growth areas and relevant critical capabilities provide new directions for research in the field of servitisation. Among the nine capabilities identified, the top three were advanced customer intelligence capability, socio-physical service quality, traceability and maintainability and integrated strategic decision-making. From the results, it is apparent that advanced customer intelligence capability is both an area of importance to Singapore and the world.

This study aims to construct mechanisms of big data-driven business model innovation from the market, strategic and economic perspectives and core logic of business model innovation.

The authors applied deductive reasoning and case analysis method on manufacturing firms in China to validate the mechanisms.

The authors have developed an integrated framework to deduce the elements of big data-driven business model innovation. The framework comprises three elements: perspectives, business model processes and big data-driven business model innovations. As we apply the framework on to three Chinese companies, it is evident that the mechanisms of business model innovation based on big data is a progressive and dynamic process.

The case sample is relatively small, which is a typical trade-off in qualitative research.

A robust infrastructure that seamlessly integrates internet of things, front-end customer systems and back-end production systems is pivotal for companies. The management has to ensure its organization structure, climate and human resources are well prepared for the transformation.

When provided with a convenient crowdsourcing platform to provide feedback and witness their suggestions being implemented, users are more likely to share insights about their use experience.

Extant studies of big data and business model innovation remain disparate. By adding a new dimension of intellectual and economic resource to the resource-based view, this paper posits an important link between big data and business model innovation. In addition, this study has contributed to the theoretical lens of value by contextualizing the value components of a business model and providing an integrated framework.

This research investigates the role of trust and social capital in shaping consumer behaviour in collaborative consumption (CC) platforms. By integrating system quality, social referral and shared goals, this study aims to develop a comprehensive framework that explains how these factors influence social trust, self-efficacy and ultimately drive consumers' intention to adopt CC.

Consumer satisfaction towards a brand is one of a firm’s important performance outcomes. However, building a strong green brand to foster consumers’ satisfaction is often challenging for firms. Drawing on the dynamic capability and mechanism-enabling perspectives of ambidexterity. The purpose of this research is to explore mechanisms of perceived brand performance and green trust through which green brand ambidexterity acts as a facilitator of consumer satisfaction.

The hypothesized relationships were tested by both partial least squares structural equation modelling (PLS-SEM; symmetric approach) and fuzzy set qualitative comparative analysis (fsQCA; asymmetric approach) with data collected from a green consumer questionnaire survey in Hong Kong.

The results from PLS-SEM indicate that green brand ambidexterity affects consumer satisfaction through multiple mediating paths of perceived brand performance, green trust-consumer and the sequential integration of perceived brand performance and green trust. Results from fsQCA further reinforced these findings.

The present research provides a nuanced understanding of how ambidexterity enhances consumer satisfaction in the context of a green brand by identifying multiple mechanisms.

There is a lack of research on how green brand ambidexterity affects green brand outcomes from the perspective of value creation for consumers. The present research fills this gap by providing more comprehensive explanations of mechanisms for green brand ambidexterity to facilitate consumer satisfaction. It also offers a better understanding of how the effects of green brand ambidexterity are viewed on a path-dependency that is aligned with the dynamic capability perspective of ambidexterity and how green trust forms a critical path to enable green brand ambidexterity and perceived brand performance to enhance consumer satisfaction.

This study aims to examine the necessity effects of big data analytics capabilities (BDAC) on decision-making performance (DMP), particularly in the public sector.

The authors used the combined methods of partial least square structural equation modeling (PLS-SEM) and necessary condition analysis (NCA) to test the hypothesized relationships.

The findings show that the presence of all three BDAC (infrastructure, management and personnel) is significant and necessary to achieve higher levels of DMP. Specifically, the results revealed big data management capabilities to be of higher necessity to achieve the highest possible DMP. The findings provide public-sector practitioners with insights to support the development of their BDAC.

Time-sensitive domains such as the public sector require insight and quality decision-making to create public value and achieve competitive advantage. This study examined BDAC in light of the combined methods of (PLS-SEM) and NCA to test the hypothesized relationships in the public sector context.

The rapid shift in the emerging pedagogies of customer behavior has changed the business preferences in the hotel sector. This study prioritizes the hotel's main task to develop customer re-patronage intention. Keeping in line with these factors, this study investigates the impact of customer empowerment on re-patronage intentions through customer value co-creation in the hotel sector of Pakistan. Furthermore, the study examines the moderating impact of sensation-seeking on customers.

A total of 350 potential customers participated in the online survey using purposive and snowball sampling techniques. Partial least square structural equation modeling was employed using Smart PLS-3 to test the projected hypotheses.

This study reveals that empowered customers improve their behavior and involvement in value co-creation, which, in turn, increases the prospects of re-patronage intention. Moreover, sensation-seeking moderates between consumer empowerment and customer value co-creation.

Customer-dominant logic and sense-making theory present interesting insights where customer empowerment and value co-creation have a positively significant impact on customer re-patronage intention. Findings also elaborate on a significant mediating role of customer value co-creation activities, which is an interesting call for hotel managers to add thought-sharing ecosystems. The suggested factors add long-lasting results in terms of revenues, performance and global GDP.

It provides guidance for the hotel managers through novel factors that activate the customer to augment an intention to re-patron. Moreover, it provides a direction to add sensation-seeking strategies that strengthen the effects on customer empowerment and value co-creation.

This study has its uniqueness in introducing an environment in hotels where customers are empowered to further actively participate in value co-creation initiatives, along with sensation-seeking acting as a stimulus among them. These factors have greatly impacted the hotel's objectives (i.e. re-patronage intention).

This study draws on social influence and social comparison theories to investigate the effect of social media influencers on intention to visit with the mediating role of upward social comparison. It studies the reasons underlying people's intention to visit a destination from an emotional perspective.

PLS-SEM models were applied to a total of 527 responses.

This study provides empirical evidence supporting the Source Credibility Model's elements within the context of influencer marketing and travel intentions. Furthermore, it expands the current knowledge of upward social comparison emotions by reporting that upward contrastive emotions would partially mediate the relationship between expertise and intention to visit, and that upward assimilative emotions would fully mediate the relationship between attractiveness and intention to visit while partially mediating the relationship between trustworthiness and expertise and intention to visit.

The article adds new insights to tourism marketing as well as helps both destination marketers and travel influencers. For marketers, it is advised to collaborate with credible influencers known for expertise and trustworthiness, leveraging their perspectives to rebuild travel confidence and reassure tourists about safety measures. Travel influencers are recommended to convey their intrinsic passion and enthusiasm through their posts to create an inspiring connection with the audiences.

This paper is the first to address the relationship between travel influencers and intention to visit with the mediation role of both positive and negative emotions.

This study evaluates the knowledge structure of medical tourism within the geographical context of South East Asia. This region is one of the growing economic powerhouses in the world, and tourism activities have contributed a lot to its advancement.

Applying a science mapping technique using bibliometric analysis, the current and emerging themes and future trends are analyzed using bibliographic coupling and co-word analysis.

Findings show that current trends produced four themes: Fundamentals of medical tourism in Southeast Asia, determinants of tourist medical tourism visits, quality of medical and health service in Southeast Asia and impact of medical tourism on national economic growth. The future trends also produced four themes related to navigating excellence in medical tourism, medical tourism and economic growth, service quality in medical tourism services and accredited destinations in the globalized era of medical tourism.

This study is relevant to all stakeholders, operators and local communities in Southeast Asia tourism destinations to provide the best medical tourism with the best quality service and technologies.

This study fills the gap by performing a bibliometric approach to reviewing medical tourism in Southeast Asia using a science mapping technique. Crucial themes are produced through topological and temporal streams that provide critical insight for future developments in medical tourism in the region.