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There are multitudes of sites and buildings offering various services to their occupiers. Studies highlight that companies choose sites and buildings that enable business’ growth and competition. The purpose of this paper is to explore occupiers’ perspectives on headquarters (HQs) site selection preferences with reference to the public listed firms in South Africa’s eight metropolitan municipalities.

A literature review was conducted to understand site selection preferences in other countries to inform the current study. Empirical data were collected using a sequential mixed-method approach using interviews and a survey. Semi-structured interviews were conducted first with the executives/management and also personnel who are involved in site selection decisions. Purposive sampling technique was used to select one company per industry to be interviewed. The information gathered from interviews informed the survey that was distributed online using Qualtrics software to all public listed firms located within the eight metropolitan municipalities in South Africa. Thematic analysis was used for analysing the interviews, whereas self-explicated conjoint model was used for the survey.

The results reveal that HQs as occupants of space prefer facilities that have good security and security systems, backup generators, air conditioning, parking facilities, energy management, access to the internet, efficient water supply, quality meeting places, cleaning services, the condition of the premises and disabled-friendly facilities. In addition to these preferences, HQs also prefer sites that are accessible. From this study, aspects that are unique to South Africa’s case are around security and security systems. The higher the crime levels, the higher is the demand on HQs to provide security and security systems for not only for their premises but also their employees. The current water and energy outages are also affecting HQs resulting in companies preferring facilities with an efficient water supply and having backup generators.

The research only focussed on public listed firms located within the eight metropolitan municipalities. The findings may/may not apply to the HQs of non-listed firms and also to those situated outside the metropolitan municipalities. Owing to this, the results cannot be generalised. Further studies are needed to explore preference by industry with larger sample size.

This study provides insights on HQs site selection preference levels from the context of South Africa as a developing country. The insights would be useful to companies within the South African context to better understand their contextual dynamics and for companies seeking to do business in developing countries. Apart from companies, this study would also be beneficial to policymakers in creating enabling policies for companies, property developers to build facilities that embrace aspects preferred by occupants and investors to understand the preferences of HQs in the selection of sites for their operation.

In a developing country such as South Africa, there are limited studies on HQs site selection preferences; therefore, this study is one of the few studies bridging the knowledge gap. This study adopts a marketing approach to understand corporate real estate phenomenon.

The purpose of this paper is to propose an intuitionistic fuzzy technique for order preference by similarity to ideal solution (TOPSIS) multi-criteria decision making method for the selection of start-up businesses in a government venture capital (GVC) scheme. Most GVC funded start-ups fail or underperform compared to those funded by private VCs due to a number of reasons including lack of transparency and unfairness in the selection process. By its design, the proposed method is able to increase transparency and reduce the influence of bias in GVC start-up selection processes. The proposed method also models uncertainty in the selection criteria using fuzzy set theory that mirrors the natural human decision-making process.

The proposed method first presents a set of criteria relevant to the selection of early stage but high-potential start-ups in a GVC financing scheme. These criteria are then analyzed using the TOPSIS method in an intuitionistic fuzzy environment. The intuitionistic fuzzy weighted averaging Operator is used to aggregate ratings of decision makers. A numerical example of how the proposed method could be used in GVC start-up candidate selection in a highly competitive GVC scheme is provided.

The methodology adopted increases fairness and transparency in the selection of start-up businesses for fund support in a government-run VC scheme. The criteria set proposed is ideal for selecting start-up businesses in a government controlled VC scheme. The decision-making framework demonstrates how uncertainty in the selection criteria are efficiently modelled with the TOPSIS method.

As GVC schemes increase around the world, and concerns about failure and underperformance of GVC funded start-ups increase, the proposed method could help bring formalism and ensure the selection of start-ups with high potential for success.

The framework designs relevant sets of criteria for a selection problem, demonstrates the use of extended TOPSIS method in intuitionistic fuzzy sets and apply the proposed method in an area that has not been considered before. Additionally, it demonstrates how intuitionistic fuzzy TOPSIS could be carried out in a real decision-making application setting.

Dolphin excursions have become increasingly popular worldwide. Many past studies assessing the value of dolphin excursions use choice-based methods such as the conjoint analysis. However, this method is often criticized as being hypothetical. The purpose of this paper is to describe a relatively low cost but effective approach to enhance understanding of consumer preference obtained by conjoint analysis. The method relies heavily on using internet-based survey tools.

Enabled by an online tool, individuals are asked to self-explicate their preferred alternatives using the same attributes as are found in the conjoint design. The difference between the self-constructed, preferred alternatives and those offered in conjoint experiment are incorporated into choice models. Unlike previous research where only rough estimates can be provided, the proposed method allows precise capture of respondents’ preferred alternative through the automated online survey design.

Results show that although the extra effort involved in data collection is small, the gain in model fit, choice interpretation, and the value (welfare) estimation is sizeable. Evidence indicates that consumers would be willing to pay up to $50 more for adventurous excursions and guarantees that they will interact with dolphins could worth up to $70 per trip. The approach presented in this paper can also serve as a method to test for preference consistency.

This study is the first using an online survey to assess values associated with dolphin excursion. It describes the benefit of involving online tools to enhance modeling and interpretation of consumer behavior. Applications of internet-based surveys on household consumer products are abundant (such as food and electronics) but this study offers a much less discussed application in environmental service.

Behavioral scientists have long sought to capture how individuals’ understandings, perceptions and beliefs affect their decisions, often through examining the underlying cognitive processes that drive action (Schendel & Hofer, 1979). Economists, for example, are interested in how individuals’ utility functions influence their actions. Marketing researchers investigate how consumers’ preferences are reflected in their purchase behaviors. Organization researchers examine individual characteristics that influence outcomes such as job satisfaction, promotion, and turnover (Aiman-Smith et al., 2002).

Predicting one’s own decision‐making policies is evidently a useful skill. How good are consumers at it? In spite of its importance, the question has not been much studied directly, although hints can be found in several parts of the literature. This article describes an experiment that identifies how much knowledge consumers have about an important purchase: a mobile phone. A total of 94 consumers provided ratings of the importance of six attributes and preference for several choices of mobile phone plans that were advertised in the market. Consumers’ self‐knowledge was assessed by three methods: comparing the product attribute importance derived from the subject’s model with the attribute importance derived from a conjoint analysis model; comparison of predicted judgments generated by the subject’s model with their holistic judgments; and comparison of the actual purchase of a mobile phone with the prediction generated by the subject’s model. Results show that consumers have a relatively good predictive power of a product they have chosen. However, this knowledge is not perfect. The results have important implications for companies that collect information about preferences from consumers.