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.

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).

More people share their tourism experiences on social media today than in the past, and as a result, more people follow these posts in their trip planning. However, studies into tourists' intention to follow such posts are scarce. Therefore, this study investigates the antecedents influencing social media users' intentions to follow tourism-related posts (TRPs) when planning their trips.

Questionnaires were collected from 402 social media users who had followed TRPs for their trip planning. Data were then analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks.

The authors found that blogger–user fit and users' involvement with TRPs influenced behavior components (attitudes toward TRPs and intention to follow TRPs) via assessment components (bloggers' credibility and content quality), and the authors developed a framework to explain this relationship.

The findings advance prior studies by investigating (1) the antecedents of intention to follow TRPs when trip planning, (2) the two main social media elements – bloggers and posts – to understanding the role of social media on travel behavior and (3) involvement with TRPs and their impacts on travel behavior. This study contributes to the research on social media and tourism marketing and proposes practical indications for bloggers, social media platforms and destination marketing organizations.

Environmental pollution due to the enormous usage of conventional plastic products has alerted consumers to change their attitude towards green plastic products. This study aims to examine the effects of environmental concern, knowledge of the environment and religiosity on young Muslim consumers’ attitude towards green plastic products in Indonesia. Additionally, the moderating role of gender on these relationships is investigated.

An online survey was used as a method of data collection. Data gathered from 231 young Muslim consumers in Bandung, Indonesia, was analysed via the partial least squares-structural equation modelling approach.

The results revealed that environmental concern is the factor that has the biggest impact on consumers’ attitude and behavioural intentions, both directly and indirectly. This research implies that as a young Muslim’s concern for the environment grows, his or her attitude towards the environment improves, leading them to purchase and endorse green plastic products.

Green plastic product managers should increase the environmental concern of young Muslim consumers through effective marketing communication strategies and green education programs to disseminate a positive message that green plastic products consumption aids in making the environment safe and healthy.

This empirical study is imperative for green managers to improve their capabilities in boosting young Muslim consumers’ attitude towards green plastic products through strengthening consumers’ environmental concern, knowledge of the environment and religiosity towards supporting the sustainable development goals.

The purpose of this paper is to examine the impact of different food choice motives on attitude and, subsequently, the impact of attitude, subjective norm and perceived behavioural control on the purchase intention of Pakistani ethnic food, based on the food choice motives theory and the theory of planned behaviour.

Using an intercept survey, data were collected from 559 local tourists coming from different areas of the country, who visited Swat, Gilgit and Muree regions of Pakistan, and the data were analysed using SmartPLS software.

In terms of direct effects, mood, familiarity, natural content and price were found to be significant predictors for attitude, whereas attitude, subjective norm and perceived behavioural control were found to positively affect intention to purchase Pakistani ethnic food. In addition, attitude was found to serve as a mediator for the relationships between mood, familiarity, sensory appeal and price on purchase intention.

This study has shed some light on the food choice behaviour of domestic tourists opting for their own local cuisine in Pakistan, which is under-represented in the tourism and food research literature. We also tested an integrated model of food choice motives and the theory of planned behaviour in modelling purchase intention in the tourism perspective. The present study also adds to the existing literature on mediation by modelling attitude as a mediator between food choice motives and purchase intention in the context of a developing country.

The study hypothesized that the impact of board diversity on financial distress (FD) is not direct but rather mediated by the firm’s corporate social responsibility (CSR) activities. Consequently, the purpose of this study is to examine the impact of CSR as a mediator in the board diversity–FD relationship.

The study examined six board diversity dimensions – age, gender, nationality, education and tenure in 81 nonfinancial Pakistan Stock Exchange (PSX)-listed firms from 2010 to 2021. The CSR engagement of the sample firms is evaluated using a multidimensional financial approach and the likelihood of FD is computed using Altman’s Z-score. The system-generalized method of moments estimator is used to meet the study objectives. In addition, several tests are run to determine the robustness of the study’s findings.

Based on the procedure for mediation analysis outlined by Baron and Kenny (1986), the authors found that CSR is significantly inversely associated with the likelihood of FD. Second, board diversity variables age, gender and national diversity were positively associated with CSR. Third, board age, gender and national diversity are significantly inversely related to FD. Finally, it was found that there is partial mediation between board age diversity and FD, whereas full mediation is shown between board age diversity and FD and between board nationality diversity and FD.

This study provides practical insights into PSX’s board diversity for companies, regulators and policymakers.

This research studies the connection between board diversity and FD. In addition, the current study extended the analysis by testing for the first time the mediating role of CSR in the diversity–distress relationship, particularly in the context of an emerging economy.