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The purpose of this paper is to apply a methodology (drawn from the literature) to value the environment as a capital.

The main analytic framework considered is a factor utilization function, which traditionally deals with labour and manufactured capital. The development of a three-factor function in terms of labour, manufactured capital and environmental capital enables the display of mistaken notions of economic performance.

The purpose of this illustration is to identify the patterns of environmental capital utilization as an economy grows. Although there are some differences in the patterns of environment utilization between Australia and Canada, the patterns observed are in line with that of the environmental Kuznets curve (EKC).

This illustration is made with reference to two commodity-driven economies, namely, Australia and Canada. The findings could be used as a point of reference for resource rich economies.

This paper illustrates an approach for valuing the environment as an economy grows. This approach is applied to two selected resource rich economies and the findings demonstrate traits similar to that of the EKC.

Devotes the entire journal issue to managing human behaviour in US industries, with examples drawn from the airline industry, trading industry, publishing industry, metal products industry, motor vehicle and parts industry, information technology industry, food industry, the airline industry in a turbulent environment, the automotive sales industry, and specialist retailing industry. Outlines the main features of each industry and the environment in which it is operating. Provides examples, insights and quotes from Chief Executive Officers, managers and employees on their organization’s recipe for success. Mentions the effect technology has had in some industries. Talks about skilled and semi‐skilled workers, worker empowerment and the formation of teams. Addresses also the issue of change and the training that is required to deal with it in different industry sectors. Discusses remuneration packages and incentives offered to motivate employees. Notes the importance of customers in the face of increased competition. Extracts from each industry sector the various human resource practices that companies employ to manage their employees effectively ‐ revealing that there is a wide diversity in approach and what is right for one industry sector would not work in another. Offers some advice for managers, but, overall, fails to summarize what constitutes effective means of managing human behaviour.

The purpose of this study is to analyze the effects of integration quality, perceived fluency and assurance quality on brand engagement and trust, and their impacts on brand loyalty in the omnichannel banking setting. It further explores the critical role of personal innovativeness and demographic characteristics as moderating variables for the propositions in the research model.

An online survey of 1,547 respondents was carried out with bank customers located in the three largest cities of Vietnam, who have already used at least two various transactional channels in the past. The results were analyzed by the partial least square-structural equation modeling (PLS-SEM) technique.

The findings denote that integration quality, perceived fluency and assurance quality significantly influence brand trust. Whereas, brand engagement is only affected by integration quality and perceived fluency. Further, brand engagement and trust are substantiated as critical drivers of brand loyalty in omnichannel banking. Customers with high personal innovativeness produce fewer effects of omnichannel properties on brand engagement and trust than other ones. The research context is found to be a significant moderator for the effect of perceived fluency on brand engagement.

This study offers several recommendations for bank managers to develop a successful omnichannel strategy that could enhance brand engagement and trust by improving integration quality, maintaining fluency across various channels and assuring security during the transactional process. It suggests various policies to improve the effectiveness of the omnichannel model towards the clients with high innovativeness.

This research extends the social exchange theory (SET) theory by examining the effects of omnichannel properties on brand engagement, trust and loyalty in the banking sector. The moderating role of personal innovativeness and research context is also explored.

This research aims to enrich the literature related to the emerging topic of omni-channel. The purpose of this paper is to empirically investigate the relationship between omni-channel integration quality (IQ), omni-channel perceived value (PV), customer satisfaction and loyalty in the banking context.

A quantitative study was conducted to collect data. A web-based questionnaire was sent by an e-mail to a sample of 395 bank customers. Exploratory factor analysis and structural equation modelling were used for the statistical analysis of the data.

The results reveal that a high quality of omni-channel banking integration increases the PV of the omni-channel by the customer. There is also a positive relationship between PV and customer satisfaction, as well as customer loyalty, in the omni-channel banking context. A positive relationship between omni-channel IQ and customer satisfaction was also highlighted. Furthermore, customer loyalty can be increased through enhancing customer satisfaction within omni-channel banking.

Bank managers should provide a consistent omni-channel integration of their omni-channels, as it leads to a higher level of customers’ perception of value and it increases their satisfaction. A high IQ and PV of omni-channel could also be an efficient tool to promote customers’ long-term relationships, as it enhances satisfaction and loyalty towards the bank.

After being studied in a multi-channel context, this study extends the use of the concepts of IQ and PV on omni-channel. This research is among the few studies that empirically test nearly all the relationships of the research model in an omni-channel environment, in general, and in omni-channel banking, in particular. Furthermore, this research offers a comprehension of the omni-channel system from customer’s point of view, which is an insufficiently explored topic.

This study aims to investigate how different academic fields within and outside of international business (IB) engage with the topics of social value creation in the context of multinational enterprises (MNEs). The aim is to take stock of the main themes and offer suggestions for future research avenues.

The paper undertakes a scoping review. The authors use the Web of Science database to identify relevant articles. The database search yielded 466 articles. The NVivo software was used to code and identify key thematic areas.

The matrix analysis performed in NVivo yielded 15 main thematic areas spanning 37 research fields. However, further analysis revealed that 89 per cent of the articles originated from 13 fields. Furthermore, while IB journals represent the second-largest field home to publications related to the social value creation of MNEs, they only account for 12 per cent of the sample.

The paper responds to prior calls to reduce disciplinary silos through the performing of a thematic analysis across a multitude of research fields.

With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers.

A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion.

The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion.

The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem.

In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.

This chapter is an up-to-date survey of the state-of-the art in consumer demand analysis. We review (and evaluate) advances in a number of related areas, in the spirit of the recent survey paper by Barnett and Serletis (2008). In doing so, we only deal with consumer choice in a static framework, ignoring a number of important issues, such as, the effects of demographic or other variables that affect demand, welfare comparisons across households (equivalence scales), and the many issues concerning aggregation across consumers.

The law of passing‐off concerns itself primarily with the protection of a trader's goodwill — his customer connection. It has proved itself an expansive tort action, being used to combat a diverse variety of commercial dishonesty and unfair competition. In the leading case of ERVEN WARNINK BV v J. TOWNEND & SONS (HULL) (‘the Advocaat case’) [1980] RPC 31, Lord Diplock observed:

A review of 67 articles in the indoor environmental quality (IEQ) literature published from 2010 to 2020 reveals that none of prior studies have determined the IEQ of physical retailers and its impact on consumers. To fill such a gap, this study investigates the influence of physical retailers' IEQ on consumer purchase intention. The mediating roles of hedonic experience and perceived brand value (PBV) in this relationship are also determined. Furthermore, the moderating effect of perceived service quality (PSQ) on the link between physical retailers' IEQ and PBV is clarified in this study.

This study uses structural equation modeling (SEM) to analyze a sample data of 996 consumers in China.

Results show that physical retailers' IEQ has a positive impact on consumer purchase intention. Hedonic experience mediates the link between IEQ and purchase intention. PBV also mediates the relationship between IEQ and purchase intention and that between hedonic experience and purchase intention. In addition, PSQ moderates the relationship between IEQ and PBV.

To the best of the authors’ knowledge, this study is the first to determine the impact of IEQ on consumers in the physical retailer context. Specifically, this study enriches our knowledge about the relationship between physical retailers' IEQ and consumer purchase intention with the mediating and moderating mechanisms of hedonic experience, PBV and PSQ. The findings fill the research gaps in the IEQ literature that has ignored the impact of IEQ on consumers' perception and behavioral intention in the physical retailer context. Furthermore, this research provides evidence for retailer managers to understand and improve physical stores' IEQ.

Brick-and-mortar store is an essential channel to deliver a seamless shopping experience and meet customer's dynamic needs in omni-channel retailing. This paper aims to understand customers' expectations of the integrated stores and develop a measurement scale to assess in-store service quality in omni-channel retailing.

Grounded theory methodology (GTM) is employed to obtain a clear picture of consumer expectations and preferences regarding the omni-channel brick-and-mortar integrated stores. Then, an integrated store service quality scale is proposed, refined and validated using a questionnaire survey and structural equation model (SEM).

The measurement scale is set to include seven dimensions: in-store environment, in-store technology, product information consistency, employee assistance, personalization, channel availability and instant gratification and return. The relationships among these seven dimensions and customer satisfaction and loyalty are also verified. According to SEM, product information consistency is more important for customer satisfaction while personalization contributes more to customer loyalty. The results demonstrate that by analysing the seven dimensions, retailers can better understand customers and further improve service quality.

This paper proposes a sufficient measurement scale for in-store service quality and fills the gap in omni-channel retailing by capturing its integration attribute.