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This study aims to answer the following question: How can customer readiness be instrumental in non-technology-based service delivery?

Using a field study, this research examines the role of customer readiness in customer participation in non-technology-based service delivery and its indirect effects on such customer outcomes as perceived service quality, customer satisfaction and customer willingness to recommend.

The results show that customer readiness is a second-order construct. It has a significant impact on customer participation in service delivery, which in turn impacts three key service outcomes: customer perceived service quality, customer satisfaction and customer willingness to recommend. Four factors influencing customer readiness (consumer previous experience, consumer desire for control, consumer perceived risk and customer organizational socialization) are also empirically evaluated.

Some limitations of the study are related to sample size and use of a type of services. The research tested 13 hypotheses with a limited sample size in one context. A better representation of the population and a more generalizable outcome require more representative samples and studies in various contexts such as banking, hotel services or health care services. This study demonstrated the importance of customer readiness for effective participation in non-technology-based service delivery; it does not address the impact of customer readiness on participation in the context of technology-based services. Future research may also shed light on when and why customers choose technology-based services versus non-technology-based services.

Effective customer participation in service delivery can, and should, benefit from boosting customer readiness.

This research shows the impact of customer readiness on non-technology-based service delivery, more specifically, the impact of customer readiness on customer participation in this type of service delivery. Customer readiness has been found to be beneficial in the provision of technology-based services; yet, its role in the provision of non-technology-based services has not been thoroughly evaluated.

Customer participation (CP) in service recovery is one of the ways to co-create value with the service provider. Most existing studies assume that customers are willing to participate in service recovery, provided the firm offers them the opportunity. In this study, the authors propose the construct named customer intention to participate in service recovery (CIPSR), develop a scale for it and argue that it is not always implicit but rather is dependent on the consumer's perceived control.

A multi-method approach was used with a combination of qualitative interviews, literature review, unaided dimension identification, correspondence analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modelling to develop the CIPSR scale. The authors used structural equation modelling to test the proposed effect of perceived control on CIPSR.

The study proposes a four-dimensional scale for CIPSR. The authors also found support for the effect of perceived control on CIPSR, with anxiety and failure controllability attribution as intermediate variables.

This study develops a comprehensive scale to measure CIPSR using a rigorous multi-method technique, as well as establishes its importance in the existing literature.

The purpose of this study is to propose a decentralized multi-party cross-trading scheme based on a certificate transaction mechanism for the transaction of excess consumption certificates (ECCs) of renewable energy. The aim is to address the problems associated with the existing centralized transaction mode and to promote the development of the green electricity industry.

The proposed scheme involves calculating the quotation difference for the same type of certificate transaction based on the quotations of all users of both buyers and sellers. The transaction volume is then determined based on the order of quotation difference from large to small, and the total interests of cooperation are calculated. The nucleolus method is adopted to allocate the total interests to each member of the alliance and calculate the final transaction price. The blockchain technology is used for the transaction to achieve accurate traceability and efficient supervision, and a corresponding smart contract is designed and simulated in the Ethereum consortium chain.

The results of the simulation show the rationality and effectiveness of the proposed scheme. The decentralized multi-party cross-trading scheme can overcome the problems associated with the existing centralized transaction mode, such as low transaction efficiency, difficulty in obtaining the optimal transaction strategy and efficient supervision. The proposed scheme can promote the development of the green electricity industry by stimulating users' demand potential for green electricity.

The proposed scheme is original in its use of a certificate transaction mechanism to facilitate the trading of ECCs of renewable energy. The scheme adopts a decentralized multi-party cross-trading approach that overcomes the problems associated with the existing centralized transaction mode. The use of the nucleolus method for the allocation of total interests to each member of the alliance is also original. Finally, the use of blockchain technology for accurate traceability and efficient supervision of the transaction is an original contribution to the field.

Knowledge management systems designed to facilitate the storage and distribution of codified knowledge affect the distribution of power within organizations. Drawing on the literature that describes the impact of information technology on power and control, this article proposes two principal outcomes of the implementation and use of such knowledge repositories. The use of knowledge repositories by employees who are net re‐users of knowledge‐based work products is expected to increase the extent to which these employees are interchangeable while reducing the level of skill they need to carry out their work. For employees who are net contributors to knowledge‐based work products, the use of knowledge repositories produces the opposite effect. When managers choose to capitalize on these effects to increase their control, employees in the former group may find their power position eroded over time.

The purpose of this paper is two-fold: to examine the relationship between social support and social entrepreneurial intentions and to test the moderating roles of entrepreneurial education and physical proximity to the office of the US Small Business Administration.

The study adopts a quantitative methodological approach. The hypotheses are tested on a sample of 1,245 respondents who intend to start a business in the state of Florida. Factor analysis and multiple regression analysis were used to identify the relationship between social support and social entrepreneurial intentions.

The hypotheses are supported by the results. The study found a positive and significant relation between social support and social entrepreneurial intentions. It also establishes the moderating effects of entrepreneurial education and proximity to office of the US Small Business Administration on the relationship between social support and social entrepreneurial intentions, i.e. our results show not only that higher levels of social support are associated with higher entrepreneurial intentions but that this association becomes stronger with entrepreneurial education and proximity to the office of the US Small Business Administration.

This is the first empirical study that highlights the role of entrepreneurial education and physical proximity to the US Small Business Administration in moderating the relations between social support and social entrepreneurial intentions. The study contributes to the understanding of factors that influence social entrepreneurial intentions.