Search results

Live streaming commerce has emerged as an essential strategy for vendors to effectively promote their products due to its unique content presentation and real-time interaction. This study aims to investigate the influence of viewer-streamer interaction and viewer-viewer interaction on consumer trust and the subsequent impact of trust on consumers' purchase intention within the live streaming commerce context.

A survey questionnaire was conducted to collect data, and 403 experienced live streaming users in China were recruited. Covariance-based structural equation modeling (CB-SEM) was used for data analysis.

The results indicated that viewer-streamer interaction factors (i.e., personalization and responsiveness) and viewer-viewer interaction factors (i.e., co-viewer involvement and bullet-screen mutuality) significantly influence trust in streamers and co-viewers. Additionally, drawing on trust transfer theory, trust in streamers and co-viewers positively influences trust in products, while trust in co-viewers also positively influences both trust in streamers and products. Furthermore, all three forms of trust positively impact consumers' purchase intentions.

This study enriches the extant literature by investigating interaction-based trust-building mechanisms and uncovering the transfer relationships among three trust targets (streamers, co-viewers and products). Furthermore, this study provides some practical guidelines to the streamers and practitioners for promoting consumers’ trust and purchase intention in live streaming commerce.

Technological innovation is one of the strongest driving forces in the survival and growth of any organization, including textile and apparel industries. However, technological innovation inherits a wide array of risks due to the uncertainty involved in it. In-depth research reveals the existence of a significant relationship between innovation failures and the approach used to innovate, that is, the organization’s innovator type. However, quantitative evidence supporting this concern is still lacking. Hence, the purpose of this paper is to bridge the existing gap in the literature on effective management of technological innovation risk factors and the innovator type of textile and apparel industries.

The risk factors related to technological innovations are identified under different innovator types. Analytic network process (ANP) has been used to evaluate the contribution of risk factors according to the innovator type of the organization. Data was gathered through the literature review and structured and semi structured interviews with textile and apparel industry experts. The contribution of risk factors was determined through priorities, derived according to the ANP using Super Decision software.

Contribution of risk factors takes different values according to innovator type. This provides comprehensive knowledge on developing a risk management strategy according to the innovator type of the organization. Furthermore, this provides insight into the fact that a generalized risk management strategy will not be effective and sensible for all innovator types.

The findings provide a thorough understanding of developing a customized risk management strategy by determining the “most to least” criticality of risks based on the innovator type of the organization. Furthermore, findings can be used to adopt the most appropriate innovator type based on the organization’s key competencies. Moreover, this guides the organization in making the best use of internal resources during risk management. Furthermore, this provides insight into the risk factors that must be addressed prior to embarking on new innovative approaches.

The purpose of this study is to investigate whether board composition affects corporate sustainability (CS) levels in private firms. Additionally, the study examines a potential interplay between CS levels and CS reporting, and the impact of EU Directive 2014 / 95/EU (Non-Financial Reporting Directive [NFRD]) on resources spent on CS.

The authors surveyed the chief executive officers (CEOs), chief financial officers (CFOs) and Environment Officers of Swedish private firms subject to NFRD, receiving 149 valid responses (a response rate 24%). The authors coded the responses using van Marrewijk and Werre’s (2003) CS levels framework. The levels are Pre-CS, Compliance-driven, Profit-driven, Caring, Synergistic and Holistic. The study then explained the CS levels with board characteristics.

While on average the sample firms have a profit-driven CS level, the authors find that CS level is positively driven by female Chairs, female CEOs and external CEOs. Early voluntary reporting before NFRD does not explain the CS level. On adoption of the NFRD, mandatory reporters increased resources spent on CS activities and CS reporting more than early voluntary-reporters. Nonetheless, slightly over half of the sample firms reported no significant impact of the NFRD on resources spent on CS.

The findings may be useful for stakeholders interested in corporate governance and CS levels. Also, the findings support further regulation such as EU Directive 2022/2464 (Corporate Sustainability Reporting Directive [CSRD]).

In private firms, female leaders are likely to play a significant role in driving altruistically motivated CS practices.

The focus is on private firms in Sweden which, unlike those in other jurisdictions, were subject to NFRD. Methodologically, the use of a survey provides an alternative to the previous heavy reliance on archival research.