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Homophily, or the tendency for individuals to be attracted to those who resemble them, is significantly influential in the formation of startup founding and top management teams. But its role in subsequent stages of startup growth remains largely unclear. We consider the impact of homophily on matching of early workers to startups. We propose that, in the case of underrepresented minority groups, the tendency toward homophily plays an important role in this matching process, albeit in an asymmetric way. In particular, homophily exerts a stronger influence on the supply than the demand side: job candidates are more inclined to favor startups with demographically similar founders than startup founders are inclined to favor demographically similar job-seekers. Focusing on an important group of historically disadvantaged workers – women – we examine these arguments using unique data on the online recruiting of high-tech startups concentrated in the Silicon Valley. We find evidence suggesting that female candidates' propensity to apply to a job at a given startup increases with the proportion of female founders. However, startups with a higher proportion of female founders are not more likely than other startups to favor female candidates in personnel selection.

Recent labor market research has called into question whether social capital effects are causal, or are spuriously due to the influence of social homophily. This essay adopts the demand-side perspective of organizations to examine the causal status of social capital. In contrast with supply-side approaches, we argue that homophily is a key mechanism by which organizations derive social capital. We develop an approach to bolster inferences about the causal status of social capital, and illustrate these ideas using data from a retail bank.

Effective knowledge integration is vital for decision making in interdisciplinary research (IDR) teams. However, there is a lack of knowledge about the antecedents of knowledge integration. This study aims to examine how social capital at different levels and their interaction influences knowledge integration in IDR teams. Specifically, this study explores the moderating role of team social capital in the relationship between individual social capital and knowledge integration.

A survey on 346 individuals from 46 IDR teams in a research university in China is conducted. A multilevel analysis of the hierarchical linear model is used to process the sociometric data.

Results reveal that team social capital interacts with individual social capital by influencing knowledge integration. At the individual level, tie strength and structural equivalence have a positive influence on knowledge integration. There is an inverted U-shaped relationship between betweenness centrality and knowledge integration. Furthermore, team cohesion negatively moderates the positive effect of tie strength and structural equivalence on knowledge integration. No support is found for the moderating role of team cohesion on the effect of betweenness centrality.

First, different from previous research on social capital at single levels, this study links the individual-level and the team-level views to explore the effects of social capital on knowledge integration. Second, this study enriches research on inducing factors of knowledge integration. Third, this study extends social capital research and knowledge integration research to the IDR team context.

Artificial intelligence chatbots are shifting the nature of online services by revolutionizing the interactions of service providers with consumers. Thus, this study aims to explore the antecedents (e.g. compatibility, perceived ease of use, performance expectancy and social influence) and consequences (e.g. chatbot usage intention and customer engagement) of chatbot initial trust.

A sample of 184 responses was collected in Lebanon using a questionnaire and analyzed using structural equation modeling (SEM) by AMOS 24.

The results revealed that except for performance expectancy, all the other three factors (compatibility, perceived ease of use and social influence) significantly boost customers’ initial trust toward chatbots. Further, initial trust in chatbots enhances the intention to use chatbots and encourages customer engagement.

The study provides insights into some variables influencing initial chatbot trust. Future studies could extend the model by adding other variables (e.g. customer experience and attitude), in addition to exploring the dark side of artificial intelligence chatbots.

This study suggests key insights for marketing managers on how to build chatbot initial trust, which, in turn, will lead to an increase in customers’ interactions with the brand.

The current study marks substantial contributions to the artificial intelligence marketing literature by proposing and testing a novel conceptual model that examines for the first time the factors that impact chatbot initial trust and the key outcomes of the latter.

Are White and Asian job applicants advantaged in access to professional jobs relative to Black and Latinx job applicants at the initial screening stage of the hiring process? And, are the mechanisms of advantage for White applicants different than the mechanisms for Asian applicants? In this chapter, the author proposes a theoretical framework of “parallel mechanisms” of White and Asian advantage during hiring screening – that White and Asian applicants are advantaged compared to Black and Latinx applicants, but that the mechanisms of advantage subtly differ. The author focuses specifically on mechanisms related to two important factors at the hiring interface: referrals and educational attainment. The author applies the concept of parallel mechanisms to a case study of software engineering hiring at a midsized high technology firm in Silicon Valley. The author finds that at this firm, White applicants are advantaged at initial screening relative to Black and Latinx applicants due to average racial differences in applicant characteristics – namely having a referral – as well as differences in treatment by recruiters. For Asian applicants, average racial differences in possession of elite educational credentials, as well as racial differences in recruiter treatment, explain the racial disparity in callbacks. The author discusses the implications of parallel mechanisms of advantage for racial inequality in a multiracial context, and for organizational policy meant to address racial disparities during organizational hiring processes.

The level of trust in a service provider is an important decision factor when buying industrial services. Especially, the outcome uncertainties of services, its individuality, and asymmetric information between buyer and seller are some reasons that the evaluation of trust is a key component in service trading. Consequently, searching of potential new suppliers involves examining providers’ trustworthiness. This paper focuses on the study of online trust signals used by buyers, to assess provider’s trustworthiness in the context of industrial services. The main research objective is to propose the basis for a digital tool, which helps buyers to assess provider’s trustworthiness by providing a “standardized trustworthiness signal description” and “trust functionalities.” A particular approach is used, wherein different methods are mixed such as a case study, expert interviews, and a quantitative method following the guideline of the design science paradigm. The aim is to propose a useful tool for trustworthiness assessment to enhance e-markets for industrial services.

At a time when many people are experiencing stress, burnout, and strain at work, a relaxing vacation becomes increasingly important. Remote locations such as Bali, the Maldives, or the Caribbean have experienced a steady increase in popularity: exotic dishes, turquoise water, and white sandy beaches are often tourist magnets. While the corona crisis is changing the name of the game at this point, those destinations may attract travelers seeking remote destinations catering to the individual rather than the group. In response, new luxury resorts have emerged in recent years fostering global travel with its set of positive and negative impacts on the environment, the economy, and communities. In light of a global climate emergency, is luxury tourism in remote destinations compatible with sustainable development? This chapter, exploratory by nature, concludes that if there is one hope, it is that sustainability becomes the sine qua non of luxury tourism in the near, post-corona future.

Starred restaurants, as significant outlets for small wineries, present a unique business opportunity. In this context, the sommelier, as a third actor, assumes a pivotal role in shaping the business relationships between these entities. This study, employing a grounded theory approach, delves into the sommeliers’ roles and activities in the initiation of relationships between small wineries and starred restaurants.

A qualitative methodology was adopted. Twenty-four semi-structured interviews, direct observations, and informal conversations with starred restaurants, small wineries, and sommeliers were collected and analysed using an abductive approach.

The findings suggest that the sommelier acts as a contributor to the business relationship initiation between the small winery and the starred restaurant, performing several continuous, simultaneous, and bilateral roles toward both actors.

The study sheds light on the role of wine stewards in the B2B context and provides useful insights to close the theoretical gap between business relationship initiation and the role of third actors.

This paper aims to investigate the dynamic linkage between stock prices and exchange rate changes for the Gulf Arab countries (Kuwait, Qatar, Saudi Arabia and United Arab Emirates [UAE]).

The author uses the Markov-switching autoregression to detect regime-shift behavior in the stock returns of the Gulf Arab countries and Markov-switching vector autoregressive (MS-VAR) model to capture the dynamic interrelatedness between exchange and stock returns over the period 2000–2018.

This study’s analysis finds evidence to support the persistence of two distinct regimes for all markets, namely, a low-volatility regime and a high-volatility regime. The low-volatility regime illustrates more persistence than the high-volatility regime. Specifically, exchange rate changes do not have an influence on the stock market returns of the Gulf Arab countries, regardless of the regimes. On the other hand, stock market returns have a substantial impact on exchange markets for all countries, except Saudi Arabia, and it is more noticeable during the regime of high volatility.

The findings shed light on the interconnectedness between two of the most important financial markets in the complex international financial environment. They are thus of particular interest for economic policymakers and portfolio investors.

The author distinguishes this study from previous studies in several ways. First, while previous empirical studies of the dynamic linkage between stock prices and foreign exchange markets are primarily devoted to developed markets or emerging markets, this study’s interest is concentrated on four Gulf Arab financial markets (Kuwait, Qatar, Saudi Arabia and UAE). Second, unlike most investigations in the literature that only estimate this link for the whole period, this study attempts to estimate during the good and bad period by using a two-regime MS-VAR model. To the best of the author’s knowledge, this is the first study of the Gulf Arab countries on the stock and foreign exchange markets to apply this model.

This paper aims to explore the influence of applied pressure on the tribological properties of the friction component in a wet multi-disc clutch during the running-in process.

The running-in evolutionary was explored in terms of global friction performance. The variation of friction torque and mean COF of the initial 300 engagement cycles was obtained by full-scale tests. Finally, an optical microscope was used to detect the wear characteristics of friction surfaces.

The applied pressure showed a significant influence on the tribological behaviors of wet clutches during the running-in process. The mean COF decreased and then increases with the increase of the applied pressure. A higher applied pressure contributed to more asperity summits being sheared, thus resulting in a smoother surface. Considering a suitable wore performance, properly applied pressure is necessary.

The results provide theoretical guidance for selecting the optimal applied pressure in the running-in of wet clutches.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2022-0256/