Cause, effect and benefits of a standardised corporate visual identity system of UK companies operating in Malaysia

Investigates the degree of global standardisation of a corporate visual identity system (CVIS) in multinational operations. A special emphasis of this research is accorded to UK companies operating in Malaysia. In particular, the study seeks to reveal the reasons for developing a standardised CVIS; the behavioural issues associated with CVIS; and the determination in selecting a graphic design agency. The findings of the research revealed that multinational corporations in an increasingly corporate environment adopted a standardised CVIS for several reasons, including, aiding the sale of products and services, creating an attractive environment for hiring employees, and increasing the company’s stature and presence. Further findings show that the interest in global identity was stimulated by global restructuring, merger or acquisition. The above trends help explain why increased focus has been accorded to CVIS over the past five years by many UK companies operating in Malaysia. Additional findings reveal that both the UK design agencies and in-house design department are used in the development of the firms’ CVIS.

Material and efficient cause interpretations of the formative model:resolving misunderstandings and clarifying conceptual language

This paper presents a causal explanation of formative variables that unpacks and clarifies the generally accepted idea that formative indicators are ‘causes’ of the focal formative variable. In doing this, we explore the recent paper by Diamantopoulos and Temme (AMS Review, 3(3), 160-171, 2013) and show that the latter misunderstand the stance of Lee, Cadogan, and Chamberlain (AMS Review, 3(1), 3-17, 2013; see also Cadogan, Lee, and Chamberlain, AMS Review, 3(1), 38-49, 2013). By drawing on the multiple ways that one can interpret the idea of causality within the MIMIC model, we then demonstrate how the continued defense of the MIMIC model as a tool to validate formative indicators and to identify formative variables in structural models is misguided. We also present unambiguous recommendations on how formative variables can be modelled in lieu of the formative MIMIC model.