Search results

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

The diffusion and adoption (D&A) of innovation propels today's technological landscape. Crisis situations, real or perceived, motivate communities of people to take action to adopt and diffuse innovation. The D&A of innovation is an inherently human activity; yet, artificially intelligent techniques can assist humans in six different ways, especially when operating in fifth generation ecosystems that are emergent, complex, and adaptive in nature.

Humans can use artificial intelligence (AI) to match solutions to problems, design for diffusion, identify key roles in social networks, reveal unintended consequences, recommend pathways for scaling that include the effects of policy, and identify trends for fast-follower strategies. The stability of the data that artificially intelligent systems rely upon will challenge performance; nevertheless, the research in this area has positioned several promising techniques where classically narrow AI systems can assist humans. As a result, human and machine interaction can accelerate the D&A of technological innovation to respond to crisis situations.

We analyze the structure and the dynamics of a field, drawing on data from organizational public behavior in the digital sphere. Organizational self-representations afford rich insights into how organizations position themselves with regard to their peers, both in terms of web page language and hyperlink affiliations. Our empirical example is the lively and important discussion of the social impact of nonprofit organizations. We follow how it has evolved from 2011 to 2018 and with what consequences. We begin with portraits of the discursive movements of powerful, individual organizations, where we observe extensive changes. These portraits show how influential organizations alter their public faces. We then analyze discourse at the field level, which is surprisingly stable even though individual organizations change their discursive and relational positions frequently. Finally, we turn to groups of organizations with similar positions and highlight their ability to integrate vocabularies of other groups. Here we observe that a lingua franca increases integration at the field level, while affording distinction with individual organizations’ positioning. We conclude with a discussion of complementary research avenues that can advance the relational and linguistic view we present in this paper.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.

The Gandhian-Vedic approach to development is synonymous with the advancement of spiritual agency. It emancipates society by trying to raise people's interconnectedness with nature, mitigating capitalism's hegemony of consumerism on people's psyche and hence reducing the chances of individuals perpetuating the cycle of exploitation by adhering to capitalist norms. That is, the Gandhian-Vedic approach to discursive accountability minimises the risk of circularity in the dialectics of contradictions, which occurs when consenting behaviour replaces existing contradictions with another set of contradictions. It enables the actor to step off capitalism's treadmill of materialism and exploitation by centralising spiritual development. Its spiritual revolution involves caring for the whole whilst engaging with social structures. Here the Gandhian-Vedic logic is extended to emancipatory accounting by developing accounting as a discursive risk assessment tool that minimises the fragmentation of time and space aspects of performance. Its holistic representation of performance could change perceptions about interconnectedness between an individual's behaviour, nature and society. It is the antithesis of conventional accounting's prioritisation of private interest over responsibility for the whole.

In markets, audiences generally discount offerings that fail to fit established product categories, but when misfit offerings change category meaning, the effects of conformity and deviation can reverse so that previously overlooked or unappealing offerings become popular while previously appealing products fall into disfavor. After introducing the idea of category currency to explain how the value of conformity changes with ongoing meaning construction, we use it to make sense of the emergence of nanotechnology. In conclusion, we argue that category currency is useful for explaining the changing value of conformity both in and beyond markets.