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As the Journal of Tourism Futures celebrates its 10th Anniversary, Dr Stefan Hartman (head of department at the European Tourism Futures Institute, NHL Stenden University of Applied Sciences) interviews Prof. Albert Postma, professor of Strategic Foresight and Scenario Planning) about Evolution and Future of Scenario Planning.

A personal interview held on September 12, 2024.

Albert Postma highlights the importance of scenario planning and strategic foresight and its evolution. Postma explains how he is taking a leading role in improving the impact of applications of scenario planning and strategic foresight in tourism practice.

The interview provides insights into the directions of scenario planning and strategic foresight applications in tourism practice and promising pathways for future academic contribution to the Journal of Tourism Futures.

Given the lack of focus on a standardized measurement framework (e.g. benchmarking tool) to assess and quantify complexity within the supply chain, this study has developed a unified supply chain complexity (SCC) index and validated its utility by examining the relationship with firm performance. More importantly, it examines the role of firm owners' business knowledge, sales strategy and board management on the relationship between SCC and firm performance.

In this study, the unit of analysis is Indian manufacturing companies listed on the Bombay Stock Exchange (BSE). This research has merged panel data from two secondary data sources: Bloomberg and Prowess and empirically operationalized five key SCC drivers, namely, number of suppliers, the number of supplier countries, the number of products, the number of plants and the number of customers. The study employs panel data regression analyses to examine the proposed conceptual model and associated hypotheses. Moreover, the present study employs models that incorporate robust standard errors to account for heteroscedasticity.

The results show that complexity has a negative and significant effect on firm performance. Further, the study reveals that an owner's business knowledge and the firm's effective sales strategy and board management can significantly lessen the negative effect of SCC.

This study develops an SCC index and validates its utility. Also, it presents a novel idea to operationalize the measure for SCC characteristics using secondary databases like Prowess and Bloomberg.

This paper aims to contribute to the literature on corporate and leadership responsibility by proposing a relational business model for shared responsibility.

First, a literature review on corporate and leadership responsibility is presented and discussed. This is followed by an overview of existing public and private regulations and future perspectives that enforce and/or foster corporate and leadership responsibility. Based on the concepts of relational economics, relational leadership and proactive regulation, the theoretical foundations of a relational business model are derived. In addition, a decision model for the empirical application of the relational business model in ethical dilemma situations is developed and presented.

Theoretical elaboration of a relational business model and an associated relational decision-making approach.

This study contributes to a new way of doing business in terms of shared responsibility. Furthermore, corporate responsibility and leadership responsibility are usually researched as two distinct fields, with the former referring to the meso level and the latter to the micro level. A relational approach, which views leadership as a relational phenomenon, contributes to bridging both concepts.

Large language models such as ChatGPT are a challenge to academic principles, calling into question well-established practices, teaching and exam formats. This study aims to explore the adaptation process regarding text-generative artificial intelligence (AI) of students and teachers in higher education and to identify needs for change.

The issue is explored in a mixed-methods approach based on Domestication Theory (Silverstone et al., 1992; Silverstone, 1994), incorporating views of both teaching staff and students. Both statistical and content analyses were carried out.

The results show that both students and teachers are conflicted about generative AI and its usage. Trepidation and fear stand against a general feeling that AI is an integral part of the future and needs to be embraced. Both groups show marked needs for training and rules and offer a variety of ideas for new exam formats.

This study provides a unique insight by exploring the attitudes and usage intentions regarding generative AI of two stakeholder groups: students and teachers. Its results can be of significant use to institutions deciding on their strategy regarding AI. It illustrates attitudes and usage intentions as well as needs of both groups. In addition, ideas for new assessment and teaching formats were generated.