Taste of success: a strategic framework for product innovation in the food and beverage industry

Abstract Purpose – This paper aims to identify the combination of innovation Determinants driving the creation of innovative products amongst market leaders and market followers in food and beverage (F&B) firms. Design/methodology/approach – This research is based on the case studymethodology by using two types of data sources: (1) semi-structured interviews with industry experts and (2) in-depth interviews with managers. In addition, a questionnaire adapted from prior research was used to consider market and firm types. Findings – Suggesting an integrated theoretical framework based on firm-based factors and market-based factors, this study identified a combination of determinants significantly impacting innovative products in the market. Specifically, these determinants are competition intensity and innovation capability (a combination of research and development (R&D) investment and marketing capabilities). The study also examined how these determinants vary depending on whether the firms are market leaders or market followers. Practical implications – This research provides practical insights for managers working in the F&B industry by using case studies and exploring the determinants of developing innovative products. In doing so, suitable strategies can be selected according to the market and firm situations. Originality/value – The originality of the study is shown by focussing on how different combinations of market and firm factors could be applied in creating successful innovative products in the food sector. Keywords Competitive strategy, Market leader, Market follower, F&B industry, Competitiveness, Innovation capability Paper type Case stud

Effective Factors in Selecting Purchasing Channels for Cosmetic Products in Iran

This paper provides an in-depth analysis of the key effective factors in selecting purchasing channels for cosmetic products. The purpose of this research is to investigate customer perceptions of cosmetics shopping. By synthesizing insights from prior research, this research develops a conceptual model by integrating innovations diffusion theory and theory of perceived risk to apply in preference to online shopping. 435 questionnaires were gathered, and data were analysed with the partial least squared structural equation modelling (PLS-SEM) method. The results show that online channels are the most popular purchasing channels for cosmetics and clarify the most significant factors that lead to cosmetic online shopping

Exploring digital transformation and technological innovation in emerging markets

This research aims to fill the research gaps regarding customer preferences for digitalization to create value for retailers and customers, as well as focus on retail change and shopping behaviour in grocery retail stores in the emerging market. This paper contributes to the research in this area by evaluating customers’ and retailers’ attitudes toward digital transformation in retailing through interviews. Methodologically, 200 questionnaires were gathered, and data were analysed with the partial least squared structural equation modelling method. Findings: The findings of this study reveal that the effect of digital transformation in the retail industry will be more apparent in an emerging market. Originality: The paper’s originality consists in understanding the future retail structure in an emerging market. Notably, focusing on business-to-consumer businesses appears helpful in distinguishing between behavioural (buying) intention and online buying behaviour (actual usage) in an emerging marke