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The purpose of this paper is to investigate the service quality of full-service restaurants in Vietnam to explore possible factors that may impact customer perception, which subsequently influences customer satisfaction and behavioural intentions. Based on the DINESERV model and service clues, the possible dimensions to construct customer perception were realised, and four key dimensions were suggested.

Data were collected from four urban local full-service restaurants in Vietnam, and factor analysis and SEM-PLS were then performed to uncover the relationship between customer perception, satisfaction and behavioural intentions.

The results suggest that customer perception significantly influences customer satisfaction and behavioural intentions, and customer satisfaction itself is also found to have influence on behavioural intentions.

This is an original piece of work which contributes to the exploration of service quality in developing countries and to the incorporation of cleanliness into analyses of restaurant service quality in particular.

In this study, the authors examine how organizational-, systems- and interpersonal-level trust may be required for a smooth functioning of the firms in the sharing economy (SE). The research objective is to explore the trust-building mechanisms of Airbnb, a leading SE organization, and its aim to foster generalized trust. An investigation of the Airbnb's promotion of different trust-building mechanisms will allow to evaluate their effectiveness in how they can help overcome scepticism and distrust between the transacting parties. Consequently, the authors can develop a unique theoretical perspective on generalized trust in SE environments and better understand any trust-related barriers preventing SE transactions.

The authors employ a case study approach to investigate the research questions with the aim to fully understand the abstract and complex nature of trust. They focus on Airbnb as the company enjoys a leading market position, being a sharing economy firm. Moreover, the personal nature of accommodation sharing, which is the business of Airbnb, increases users' trust requirements, and so the company must take active steps to promote trust between the transacting parties. The authors adopt thematic analysis to execute the data analysis of the study's findings, which are derived from emergent themes and directed by the research objectives and relevant literature.

The results show that users of Airbnb are concerned about the danger of opportunistic hosts, although they are primarily motivated to use the company's services due to its economic benefits. Nevertheless, the success of Airbnb platform stems from the trust that the company has succeeded in establishing among its users, in particular interpersonal trust. Analysis reveals that generalized trust is fostered at an interpersonal level in the form of peer reviews, at an organizational level in terms of brand familiarity and at a systems level in regards to interface design.

The authors advance the argument that confidence to transact in the social economy stems from a combination of three levels of trust, including organizational-, systems- and interpersonal-level trust. These findings contribute to the body of trust research in information technology and people literature from its unique investigative setting, whilst simultaneously strengthening the primarily speculative research on SE with in-depth empirical evidence.

The purpose of this paper is to examine the impact of the five dimensions of service quality on customer satisfaction in the UK fast food market and to indicate which factors among the five dimensions have a main role in driving overall customer satisfaction.

Primary data in the form of 147 questionnaire responses were been collected from a variety of quick service fast food restaurants in the UK. Likert seven-point rating scales were used to structure the questionnaire. Data were collected from the customers at two KFC restaurants, two McDonald’s restaurants, and one Burger King Restaurant.

The results of the analysis indicate that tangibles, responsiveness and assurance play the most important role in driving customer satisfaction in the UK fast food industry, followed by reliability and empathy. Results of correlation and regression analysis show that physical attributes (tangible) of service quality are key to customer satisfaction. In a nutshell, the tangibles variable is the most important factor driving customer satisfaction in the context of the UK fast food market.

This research incorporates unique and original insights in relation to the British fast food restaurants market and the results constitute novel findings pertaining to the importance of physical facilities and attributes. This account of the relative importance of service quality dimensions in fast food restaurants in the UK adds value to the field. The findings of this research have contributed to a better understanding of the main factors that influence service quality and customer satisfaction and have implications from a managerial point of view in the highly competitive UK fast food and wider foodservice industry.

To achieve project success, an effective project risk management procedure is inevitable. The purpose of this paper is to investigate the influence of risk factors on project success in the Chinese construction industry context.

This study by way of utilizing both qualitative and quantitative methods has examined risk factors that are closely linked to project success in the Chinese construction industry.

After a thorough survey and analysis, risk factors related to designer, contractor, subcontractor, client and government are shown to affect project success to some extent.

It is suggested that the present research may be made more generalizable by a larger, more representative samples across various industries and regions of China.

The recent proliferation of social media platforms has witnessed a growth in social commerce by using social media to facilitate interactivity between customers and vendors. While emergent studies on social commerce are growing, their focus tends to be on millennials and cross-age groups. Given the growth of digital natives in shaping the online shopping experience of the future, we deemed an application to Generation Z necessary and overdue.

We draw on the existing literature and develop a framework to understand social commerce dynamics for digital natives. We employ PLS and CB-SEM to test our proposed model.

Our findings demonstrate the importance of social commerce information sharing activities in facilitating social support, a sense of warmth and belongingness, and online trust for Generation Z platform users. We also investigate the roles of online trust and perceived risk on intention to purchase and find support for both relationships. Finally, we discuss the findings in terms of theoretical and managerial contributions and conclude the study with limitations and future research directions.

This research is unique by using social commerce theory to explore Gen Z platform users. The finding will contribute to information system literature by expanding the social commerce research stream.

The advantages of applying big data analytics for organizations to boost innovation performance are enormous. By collecting and analysing substantial amounts of data, firms can discern what works for their customer needs and update existing products while innovating new ones. Notwithstanding the evidence about the effects of big data analytics, the link between big data analytics and innovation performance is still underestimated. Especially in today's fast-changing and complicated environments, companies cannot simply take big data analytics as one innovative technical tool without fully understanding how to deploy it effectively.

This study tries to investigate this relationship by building on the knowledge absorptive capacity perspective. The authors conceptualized effective use of big data analytics tools as one general absorptive capacity rather than a simple technical element or skill. Specifically, effectively utilize big data analytics tools can provide values and insights for new product innovation performance in a turbulent environment. Using online survey data from 108 managers, the authors assessed their hypotheses by applying the structural equation modelling method.

The authors found that big data analytics capacity, which can be conceptualized as one absorptive capacity, can positively influence product innovation performance. The authors also found that environmental turbulence has strong moderation effects on these two main relationships.

These results establish big data analytics can be regarded as one absorptive capacity, which can positively boost an organization's innovation performance.

The purpose of this paper is to understand the main determinants that affect accommodation purchase intentions through lodging websites in sharing economy context. This industry differs from the hotel industry because it is a community marketplace with a growing community of users where renters can monetize their extra space and list their properties to an audience of millions while travelers can find unique accommodation at any price point.

The authors examine factors such as perceived lodging value, perceived lodging price, lodging information, online lodging reviews, trust with the host, website usability and perceived privacy/security of the website, and measure their relationships with purchase intentions. Based on an online survey data, the structural model test outcomes explain the direct effect of the exogenous variables on purchase intentions and the mediating effect of perceived lodging value between perceived lodging price and purchase intentions.

The study demonstrates that the six latent factors and proposed associations have positive effects on purchase intentions. Thus, enterprises operating in the online lodging industry should consider these elements as key antecedents of lodging purchase intentions.

Lodging websites operate in a highly competitive market where they have to compete with hotel operators, hostels, bed and breakfasts and hotel comparison websites in current sharing economy. In addition, consumers usually spend a great deal of time and effort on online pre-purchase evaluation because of the ease of the information gathering process where consumers can find a wide variety of options online. Therefore, understanding the drivers that convert browsers into renters is a topic of great interest among marketing managers in the current sharing economy context.

The purpose of this paper is to inform readers about the pivotal role of venture capitalists in the development of the companies they finance.

The case study is based on interviews with the company and the investor, supplemented by desk research that includes company literature and press reports.

The paper shows how Care UK, which delivers social services to a number of clients in both the public and private sectors, was able to develop its training function and relevant organizational capabilities with the active support of Sovereign Capital – Care UK's venture capitalist. Training in both basic health and personal care has proved very successful in making the company a market leader in its particular market.

Provides valuable insights into innovative management practices in the social services sector area.

This paper seeks to investigate the impact of venture capital firm organization (VC) on operations at portfolio companies, emphasizing particularly value added and involvement.

Prior literature indicates the importance of organizational design on the VC firm's engagement and monitoring practices. A survey methodology is used to examine such relationships, including the significance of human capital for the process of investor engagement.

The paper finds that VC organizations with a market focus and deal specialization are much more involved in portfolio companies than the firms who diversify their portfolios. This suggests that organizational focus is an important construct for explaining the degree of support accorded to portfolio companies by venture capitalists. The research also evaluates the performance outcomes of VC firm organization.

The research emphasizes the importance of organizational factors in the investment strategies of venture capital firms.