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This paper mainly explores the relationship between digital inclusive finance and financing constraints of technological-based SMEs, and how digital inclusive finance affects the financing constraints of technology-based SMEs. This paper empirically analyzes the relationship between them through the OLS model, and then further verifies the relationship between them through robust regression and heterogeneity analysis. At the same time, it uses the mechanism test to explore how digital inclusive finance affects the financing constraints of technology-based SMEs. This paper aims to address these issues.

This paper aims to explain the relationship between digital inclusive finance and financing constraints of technological-based SMEs. Technology-based SMEs always face the difficult problem of “financing difficulty” and “financing expensive” in the development process, which hinders the survival and development of enterprises to some extent. Digital inclusive finance development policy vigorously promoted by the state has alleviated the financing constraints of technology-based SMEs and brought opportunities for their development.

The results show that the role of digital inclusive finance in alleviating the financing constraints of technology-based SMEs, and incremental supplement and alleviating information asymmetry are the main reasons for digital inclusive finance to alleviate the financing constraints of technology-based SMEs. In view of the availability of digital inclusive financial data, this paper only uses the data from 2014 to 2019.

The authors’ research clearly found that the development of digital inclusive finance alleviates the financing of technology-based SMEs from the two aspects of “incremental supplement” and alleviating information asymmetry, so as to provide corresponding reference basis for the government to formulate a series of plans to support the development of technology-based SMEs.

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.

The purpose of this paper is to analyse technology‐based entrepreneurship and its importance for economic growth. Firstly, it discusses the concept of technology‐based entrepreneurship, and, secondly, it moves on to question if the phenomenon is important for regional growth. New technology‐based firms (NTBFs) can influence economic growth both directly, by their own growth, and indirectly, for example, by providing specialised input to other firms. Quite frequently those indirect effects are established within a regional context.

This paper contributes knowledge about the relatively successful Swedish case. Based on several of the author's earlier studies, some empirical data are used to illustrate some characteristics of the Swedish case. The background and origin of Swedish NTBFs, as well as the growth of these firms, are discussed. Since, technology‐based entrepreneurship is a strongly regional phenomena special attention will be paid to one of Sweden's major regions; the Gothenburg region.

The paper shows that the number of technology‐based new firms corresponds to a small share of general entrepreneurship. Technology‐based entrepreneurship is a highly regional phenomenon, where local large firms are important for the training and breeding of future entrepreneurs. Spin‐off processes are likely to enhance regional knowledge development and learning processes because it involves the diffusion and sharing of technological and managerial expertise within the region.

The results suggests that a country like Sweden, with high R&D spendings and innovative activities, should be encouraged to increase its entrepreneurial activities in order to benefit even further from its R&D and technology development.

Is of value by adding to the knowledge on technology‐intensive firms – how they tend to grow, how frequent they are and their role in economic growth.

This article reports the results from a panel discussion held at the 2019 European Conference on Information Systems (ECIS) on the use of technology-based autonomous agents in collaborative work.

The panelists (Drs Izak Benbasat, Paul Benjamin Lowry, Stefan Morana, and Stefan Seidel) presented ideas related to affective and cognitive implications of using autonomous technology-based agents in terms of (1) emotional connection with these agents, (2) decision-making, and (3) knowledge and learning in settings with autonomous agents. These ideas provided the basis for a moderated panel discussion (the moderators were Drs Isabella Seeber and Lena Waizenegger), during which the initial position statements were elaborated on and additional issues were raised.

Through the discussion, a set of additional issues were identified. These issues related to (1) the design of autonomous technology-based agents in terms of human–machine workplace configurations, as well as transparency and explainability, and (2) the unintended consequences of using autonomous technology-based agents in terms of de-evolution of social interaction, prioritization of machine teammates, psychological health, and biased algorithms.

Key issues related to the affective and cognitive implications of using autonomous technology-based agents, design issues, and unintended consequences highlight key contemporary research challenges that allow researchers in this area to leverage compelling questions that can guide further research in this field.

Technology‐based self‐service is growing at a tremendous rate all over the world, but a strong unifying theory to understand this form of service is lacking. Proposes a comprehensive conceptual framework that incorporates several well‐known attitudinal theories to explain the pivotal role of attitudes in influencing intentions and behavior related to technology‐based self‐service. The framework makes it possible to understand and predict better consumer decisions related to using technology‐based self‐service by thoroughly examining underlying consumer attitudes. Uses the Internet to illustrate how our framework can be applied to study consumer behavior related to a specific technology‐based self‐service. Draws on insights from the extant literature on technology‐based self‐service and also incorporates the many unique characteristics of the Internet that have implications for theory. Discusses practical implications of our model for marketers and provides directions for future research on technology‐based self‐service in general and the Internet in particular. With its integrative approach to theory, also contributes to the attitudinal literature.

The purpose of this paper is to explore the extent to which various theories of capital structure “fit” in the case of new technology‐based firms.

This study uses data from the Kauffman Firm Survey, a longitudinal data set of over 4,000 firms in the USA. Descriptive statistics and multivariate results are provided.

The authors' findings reveal that new technology‐based firms demonstrate different financing patterns than firms that are not technology‐based.

Although some support was found for both the Pecking Order and Life Cycle theories, the results also indicate that technology‐based entrepreneurs are both willing and able to raise substantial amounts of capital from external sources.

Technology‐based entrepreneurs need external sources of equity, in particular, in order to launch and grow their firms.

To the authors' knowledge, this is the first article to test specific theories of capital structure using a large sample of new technology‐based firms in the USA.

This study examines the social and human capital of successful Arab and Jewish technological entrepreneurs in Israel, and explores how human and social capital differ between technology-based industries.

A quantitative study was conducted using a sample of 1,184 technology-based ventures from two technology-based industries—life science (LS) and information technology (IT)—that were founded by Jewish and Arab entrepreneurs.

The results show that in the LS industry, successful Arab entrepreneurs possess higher human and social capital compared with Jewish entrepreneurs. However, in the IT industry, the Jewish entrepreneurs possess higher human and social capital. These findings reflect the deeper entrepreneurial challenges and opportunities regarding ethnic entrepreneurs' ability to break through technology-based industries. Future research directions are provided.

This study makes two contributions to the theoretical understanding of ethnic entrepreneurship and technology-based ventures. First, this study focuses on the impact of human and social capital on economic growth in the context of technological entrepreneurship in technology-based industries, since the ethnic entrepreneurship literature has mainly focused on traditional industries. Second, this study examines the effect of the founders' ethnicity, and explores how human and social capital factors vary across industries due to their specific contextual characteristics.

The aim of this chapter is to present and analyze the role of public entrepreneurship programs in fostering technology-based entrepreneurship in Turkey. More precisely, the authors of the chapter present and analyze the public policy programs aimed at entrepreneurship that have been put into action in Turkey in the last 20 years. The particular focus is on the type of programs that have been introduced, what have they achieved so far, and their contribution to the economy in terms of technology-based entrepreneurship. Together with the statistics about the output of the programs, data are also provided by a series of interviews with technology-based entrepreneurs to develop a deeper understanding of the effectiveness of those programs. Recommendations and ideas are derived from the research to improve these programs.

Self‐scanning technology is being tested by major supermarket chains as well as other types of retailers across the world, but the success of the new technology from the consumer’s perspective is not yet clear. This study investigates consumer reasons for both using and avoiding self‐scanning checkouts with a view to addressing these practitioner issues. In addition, the study advances theory on consumer motivation and behavior related to technology‐based self‐service in general. Factors driving preference or avoidance of self‐scanning checkouts include attributes of self‐scanners, consumer differences, and situational influences. Reasons for preference of other types of technology‐based self‐service over traditional service alternatives are also explored to determine motivational and behavioral patterns across service contexts. A combination of research methods is used to investigate these issues and offers richer findings than any one method used alone. Implications are discussed for managerial strategy as well as for future research.

The purpose of this paper is to disclose the commonalities and differences among business owners of technology‐based firms in Germany. The paper addresses both single entrepreneurs as well as entrepreneurial teams regarding gender.

The paper examines firm characteristics and firm success variables in light of gender. Data were sourced from 593 firms in very‐high‐tech‐manufacturing, 886 firms in high‐tech manufacturing, and 4.822 firms in technology‐based service industries.

Results confirm the supposed gender gap in the technology industry. Whereas firm characteristics such as firm size, number of employees, and revenues are correlated to gender, firm success appears to be independent of these.

This paper focuses on the analysis of firm characteristics and gender variables. Due to the data sample, it contributes to the understanding of gender, as well as firm success and characteristics of German technology‐based firms.

The quantitative nature of this study contributes to reducing the scarcity of existing studies in the field of women entrepreneurship in technology‐based industries in Germany. It offers insights into the gender and entrepreneurial team characteristics of these firms.