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This study aims to explore how digital intermediaries interact with individual intermediaries to assist corporate social entrepreneurs (CSEs) in building inclusive markets. In response to the challenge of social exclusion, CSEs craft strategies by leveraging their existing capabilities and resources. However, when it comes to building inclusive markets, CSEs face the liabilities of institutional voids and must rely on intermediaries to establish efficient trading channels. This study focuses on the process by which CSEs firstly construct technology affordances of digital intermediaries, and then actualise affordances through the interactions of digital and individual intermediaries in overcoming technology constraints and triggering involvement cycle in the context of rural e-commerce.

Using a single-case study design, the authors unfolded the process of a rural e-commerce project conducted by a Chinese e-commerce giant. The authors interviewed 35 informants from 2016 to 2018; each interview lasted 45–90 minutes. In addition, archival and observational data were collected for triangulation. After thorough examination, the data was coded and a grounded framework was developed.

This study provides a detailed process of how the interactions of digital and individual intermediaries facilitate CSEs in building inclusive markets through a rural e-commerce project. The authors find that CSEs generate corporate strategy in building inclusive markets by constructing three affordances of digital intermediaries: equality facilitator, harmony maintainer and stickiness creator. Subsequently, in actualising these affordances, CSEs fill institutional voids through the interactions between digital and individual intermediaries. Specifically, the technology constraints of digital intermediaries trigger a four-phase cycle involving individual intermediaries: identification, activation, coaching and empowerment. This involvement cycle effectively overcomes the technology constraints of digital intermediaries. The interactions between digital and individual intermediaries facilitate the dual goals achievement of CSEs and finally restructure the market architecture.

Firstly, this study stands among the pioneering research endeavours exploring the interactions between digital and individual intermediaries in facilitating CSEs to develop inclusive markets. Diverging from existing literature, which often enhances or refines the role of a single intermediary in filling institutional voids, the authors posit that digital and individual intermediaries dynamically complement each other in actualising affordances. This complementary dynamic stands as a substitute for the evolution of a single intermediary in building inclusive markets. Secondly, by zooming out the process of constructing and actualising affordances, this study contributes to the literature on technology affordance in both contextual and relational aspects. Contextually, the authors identify three tenets of affordances generated by the corporate strategy of CSEs. Relationally, the authors argue that affordances can be predeveloped by CSEs and then fully actualised through interactions between digital and individual intermediaries, challenging the conventional view that sees affordances as a relational concept solely determined by users and artefacts during the actualisation process. Thirdly, this study makes a contribution by untangling the process of CSEs in reshaping the market context to make it more inclusive. Departing from the conventional focus on the role of institutional intermediaries for CSEs in filling institutional voids, the authors explore how CSEs develop digital intermediaries and induce their interactions with individual intermediaries to restructure market architecture during the process of constructing and actualising affordances. In conclusion, this study adds valuable insights to the literature on institutional voids, technology affordance and CSE in building inclusive markets.

The use of conductive yarns or wires to design and construct fabric-based strain sensors is a research area that is gaining much attention in recent years. This is based on a profound theory that conductive yarns will have a variation in resistance if subjected to tension. What is not clear is to which types of conductive yarns are most suited to delivering the right sensitivity. The purpose of this paper is to look at strain sensors knitted with conductive composite and coated yarns which include core spun, blended, coated and commingled yarns. The conductive components are stainless steel and silver coating respectively with polyester as the nonconductive part. Using Stoll CMS 530 flat knitting machine, five samples each were knitted with the mentioned yarn categories using 1×1 rib structure. Sensitivity tests were carried out on the samples. Piezoresistive response of the samples reveals that yarns with heterogeneous external structures showed both an increase and a decrease in resistance, whereas those with homogenous structures responded linearly to stress. Stainless steel based yarns also had higher piezoresistive range compared to the silver-coated ones. However, comparing all the knitted samples, silver-coated yarn (SCY) proved to be more suitable for strain sensor as its response to tension was unidirectional with an appreciable range of change in resistance.

Conductive composite yarns, namely, core spun yarn (CSY1), core spun yarn (CSY2), silver-coated blended yarn (SCBY), staple fiber blended yarn (SFBY) and commingled yarn (CMY) were sourced based on specifications and used to knit strain sensor samples. Electro-mechanical properties were investigated by stretching on a fabric tensile machine to ascertain their suitability for a textile strain sensor.

In order to generate usable signal for a strain sensor for a conductive yarn, it must have persistent and consistent conductive links, both externally and internally. In the case of composite yarns such as SFBY, SCBY and CMY where there were no consistent alignment and inter-yarn contact, resistance change fluctuated. Among all six different types of yarns used, SCY presented the most suitable result as its response to tension was unidirectional with an appreciable range of change in resistance.

This is an original research carried out by the authors who studied the electro-mechanical properties of some composite conductive yarns that have not been studied before in textile strain sensor research. Detailed research methods, results and interpretation of the results have thus been presented.

The purpose of this study is to empirically explore how firms configure centrifugal and centripetal forces in promoting breakthrough innovation (BI), thus improving their strategic performance (SP) in the artificial intelligence (AI) context.

This study applies the centrifugal and centripetal forces model to a survey sample of 285 Chinese AI firms. Fuzzy-set qualitative comparative analysis (fsQCA) and propensity score matching (PSM) are integrated to explore the configurational effects of three centrifugal forces—the autonomy of technical experts, knowledge search and alliance network—and two centripetal forces—strictness of organisational institutions (SOI) and human–human–AI collaboration (HHAC)—on BI, examining whether the configurations that enhance BI can further improve SP.

The results indicate that the strictness of innovation institutions (SII) and strictness of ethical institutions (SEI) are equally important for determining SOI. Three configurations can improve BI when SOI and HHAC are the core conditions; only one of three configurations can further improve SP significantly.

By introducing SOI composed of equally important levels of SII and SEI and HHAC, this research is one of the few empirical studies to explore the mechanisms behind the impact of centrifugal and centripetal forces on BI and SP, which may help researchers and managers address innovation challenges in the AI context.

Generative conversational artificial intelligence (AI) demonstrates powerful conversational skills for general tasks but requires customization for specific tasks. The quality of a custom generative conversational AI highly depends on users’ guidance, which has not been studied by previous research. This study uses social exchange theory to examine how generative conversational AI’s cognitive and emotional conversational skills affect users’ guidance through different types of user engagement, and how these effects are moderated by users’ relationship norm orientation.

Based on data collected from 589 actual users using a two-wave survey, this study employed partial least squares structural equation modeling to analyze the proposed hypotheses. Additional analyses were performed to test the robustness of our research model and results.

The results reveal that cognitive conversational skills (i.e. tailored and creative responses) positively affected cognitive and emotional engagement. However, understanding emotion influenced cognitive engagement but not emotional engagement, and empathic concern influenced emotional engagement but not cognitive engagement. In addition, cognitive and emotional engagement positively affected users’ guidance. Further, relationship norm orientation moderated some of these effects such that the impact of user engagement on user guidance was stronger for communal-oriented users than for exchange-oriented users.

First, drawing on social exchange theory, this study empirically examined the drivers of users’ guidance in the context of generative conversational AI, which may enrich the user guidance literature. Second, this study revealed the moderating role of relationship norm orientation in influencing the effect of user engagement on users’ guidance. The findings will deepen our understanding of users’ guidance. Third, the findings provide practical guidelines for designing generative conversational AI from a general AI to a custom AI.