Data Mining for Shopping Centres – Customer Knowledge-Management Framework

Shopping centers are an important part of the UK economy and have been the subject of considerable research. Relying on complex interdependencies between shoppers, retailers and owners, shopping centers are ideal for knowledge management study. Nevertheless, although retailers have been in the forefront of data mining, little has been written on Customer Knowledge Management for shopping centers. In this chapter, the authors aim to demonstrate the possibilities and draw attention to the possible implications of improving customer satisfaction. Aspects of customer knowledge management for shopping centers are considered using analogies drawn from an exploratory questionnaire survey. The objectives of a Customer Knowledge Management system could include increasing rental incomes and bringing new life back into shopping centers and towns

Consumer-driven innovation networks and e-business management systems

This paper examines the use of consumer-driven innovation networks within the UK food-retailing industry using qualitative interview-based research analysed within an economic framework. This perspective revealed that, by exploiting information gathered directly from their customers at point-of-sale and data mining, supermarkets are able to identify consumer preferences and co-ordinate new product development via innovation networks. This has been made possible through their information control of the supply-chain established through the use of transparent inventory management systems. As a result, supermarkets’ e-business systems have established new competitive processes in the UK food-processing and retailing industry and are an example of consumer-driven innovation networks. The informant-based qualitative approach also revealed that trust-based transacting relationships operated differently from those previously described in the literature

Measuring brand image: Shopping centre case studies

'Branding' is well known for consumer products but power has shifted from manufacturers' brands towards retailers'. The term 'image' is more common than 'brand' in the context of shopping centres, but 'branding' may become more important. In this study, the authors first investigated qualitatively, asking shoppers to describe centres in 'personality' terms and eliciting clear descriptive differences between centres. For example, one in-town centre was 'dull, boring and old-fashioned . . . not exciting, just OK'; a larger regional centre was 'trendy, prestigious . . . strong, vibrant, big and colourful'. Second, the authors evaluated six UK shopping centres quantitatively using a questionnaire survey (n = 287). The 'strong and vibrant' centre scored significantly higher than the 'dull and boring' one. Despite 'branding' being little used by shopping centres, those with the better 'brand images' tended to have larger catchment areas, sales and rental incomes. The authors contend that brand management could pay rewards in terms of customer numbers, sales turnover and rental income

Cultural aspects of multi-channel customer management: A case study in Italy

Channel management is one of CRM systems component much influenced by the behaviour of customers in relation to its implementation and use. The consumers’ behaviours, preferences, perceptions and expectations are crucial for the implementation and use of channel management. Customers’ contact with the organization’s multi-channels can occur at several touch points throughout the customer lifecycle. Customers’ behaviours may be differentiated according to the individual or micro level, but it might also differ at an ecological or macro level of analysis (Ramaseshan et al., 2006). In this paper the author has conducted a case study in a multinational organization in Italy to analyze customers’ behaviours at a macro level and customers channel choices, through out the customer lifecycle. The author has used a content analysis technique to define the themes of the case study and then used the Structurational Analysis model by Ali and Brooks, (2008) to identify the cultural values dimensions (Ali, et al. 2008a) that influence multi-channel customer management in Italy. The research findings highlight the cultural dimensions, which should be considered while adopting multi-channel customer strategy. Also, the research findings encourage the articulation of situated cultural approach to study cultural impact within IS discipline as alternative approach than predefined culture archetype

Decision support for build-to-order supply chain management through multiobjective optimization

This paper aims to identify the gaps in decision-making support based on multiobjective optimization for build-to-order supply chain management (BTOSCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting multiobjective optimization (MOO) techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted and future research directions to better exploit the decision support capabilities of MOO are proposed

Decision support for build-to-order supply chain management through multiobjective optimization

This is the post-print version of the final paper published in International Journal of Production Economics. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.This paper aims to identify the gaps in decision-making support based on multiobjective optimization (MOO) for build-to-order supply chain management (BTO-SCM). To this end, it reviews the literature available on modelling build-to-order supply chains (BTO-SC) with the focus on adopting MOO techniques as a decision support tool. The literature has been classified based on the nature of the decisions in different part of the supply chain, and the key decision areas across a typical BTO-SC are discussed in detail. Available software packages suitable for supporting decision making in BTO supply chains are also identified and their related solutions are outlined. The gap between the modelling and optimization techniques developed in the literature and the decision support needed in practice are highlighted. Future research directions to better exploit the decision support capabilities of MOO are proposed. These include: reformulation of the extant optimization models with a MOO perspective, development of decision supports for interfaces not involving manufacturers, development of scenarios around service-based objectives, development of efficient solution tools, considering the interests of each supply chain party as a separate objective to account for fair treatment of their requirements, and applying the existing methodologies on real-life data sets.Brunel Research Initiative and Enterprise Fund (BRIEF

Urban Regeneration in a ‘City of Culture’ the Case of Pécs, Hungary

The development of Pécs is essentially due to its historically central location and to the fact that the regional institutions and the revenues generated by them have enriched the city. This functional wealth elevated the city to a position above the surrounding settlements. In its development, culture has always played a significant role. From the second half of the 19th century, it was industrial development which contributed most to its growth, a trend which was reversed at the end of the 20th century. The crisis arrived with the transition in the 1980s and has so far not been resolved. The city once more based its growth concept on human capital and on the cultural tradition when formulating new development strategy, and, as a result, it won the title of European Capital of Culture 2010. However, market processes and EU development funds necessarily generate trends which are rather more global, and in the post-socialist cities there are insufficient funds for endogenous development based on local factors to be realised

Spatial Big Data Analytics: The New Boundaries of Retail Location Decision-Making

This dissertation examines the current state and evolution of retail location decision-making (RLDM) in Canada. The major objectives are: (i) To explore the type and scale of location decisions that retail firms are currently undertaking; (ii) To identify the availability and use of technology and Spatial Big Data (SBD) within the decision-making process; (iii) To identify the awareness, availability, use, adoption and development of SBD; and, (iv) To assess the implications of SBD in RLDM. These objectives were investigated by using a three stage multi-method research process. First, an online survey of retail location decision makers across a range of sizes and sub-sectors was administered. Secondly, structured interviews were conducted with 24 retail location decision makers, and lastly, three in-depth cases studies were undertaken in order to highlight the changes to RLDM over the last decade and to develop a deeper understanding of RLDM. This dissertation found that within the last decade RLDM changed in three main ways: (i) There has been an increase in the availability and use of technology and SBD within the decision-making process; (ii) The type and scale of location decisions that a firm undertakes remain relatively unchanged even with the growth of new data; and, (iii) The range of location research methods that are employed within retail firms is only just beginning to change given the presence of new data sources and data analytics technology. Traditional practices still dominate the RLDM process. While the adoption of SBD applications is starting to appear within retail planning, they are not widespread. Traditional data sources, such as those highlighted in past studies by Hernandez and Emmons (2012) and Byrom et al. (2001) are still the most commonly used data sources. It was evident that at the heart of SBD adoption is a data environment that promotes transparency and a clear corporate strategy. While most retailers are aware of the new SBD techniques that exist, they are not often adopted and routinized

Telling a story – managing impressions about corporate social responsibility

Today, an increasing number of companies are being held accountable by stakeholders for their impact on the environment and on society. Hence, failure to address stakeholder concerns can have dire consequences for companies, threatening their social licence-to-operate. To retain stakeholder support, companies must communicate to stakeholders how their concerns are being addressed, and this includes making disclosures about Corporate Social Responsibility (CSR). Existing literature focuses on explaining the reasons for the uptake of CSR reporting, and why companies make CSR disclosures. Presently, to date, there has been only limited research on the way that companies use CSR reporting to manage impressions, and how this differs across industries. This study is unique because it uses constructive-interpretive, qualitative storytelling research methods to examine CSR reporting, and to investigate companies’ motivations for making CSR disclosures. In this thesis, multi-level narrative research was conducted on the annual, CSR, and integrated reports produced by three Australian companies: BHP, Westpac, and Westfield between 1992 and 2017. These companies represent very different industry sectors, and were chosen to provide an understanding of the similarities and differences in the development of storytelling practices in their CSR reporting. Significant events in company reports are substantiated by newspaper articles published in the Sydney Morning Herald. These significant events are used to study episodic changes in companies’ strategic organisational storytelling responses. This study found that companies use explicit and implied storytelling strategies to convey meanings about CSR using both visual and textual language. A conceptual framework is developed which presents organisational storytelling as a process and illustrates how companies construct and tell stories about CSR. Several implications were identified from this research, key amongst them being the ability of stakeholders to determine companies’ underlying motives for creating their particular CSR stories. From a company perspective, the importance of management’s understanding of the implications of poorly-executed storytelling is demonstrated, highlighting the consequent potential for stakeholders to misinterpret CSR disclosures and form adverse opinions of companies’ actions, despite positive intentionsDoctor of Philosoph

Spatial Big Data Analytics: The New Boundaries of Retail Location Decision-Making

This dissertation examines the current state and evolution of retail location decision-making (RLDM) in Canada. The major objectives are: (i) To explore the type and scale of location decisions that retail firms are currently undertaking; (ii) To identify the availability and use of technology and Spatial Big Data (SBD) within the decision-making process; (iii) To identify the awareness, availability, use, adoption and development of SBD; and, (iv) To assess the implications of SBD in RLDM. These objectives were investigated by using a three stage multi-method research process. First, an online survey of retail location decision makers across a range of sizes and sub-sectors was administered. Secondly, structured interviews were conducted with 24 retail location decision makers, and lastly, three in-depth cases studies were undertaken in order to highlight the changes to RLDM over the last decade and to develop a deeper understanding of RLDM. This dissertation found that within the last decade RLDM changed in three main ways: (i) There has been an increase in the availability and use of technology and SBD within the decision-making process; (ii) The type and scale of location decisions that a firm undertakes remain relatively unchanged even with the growth of new data; and, (iii) The range of location research methods that are employed within retail firms is only just beginning to change given the presence of new data sources and data analytics technology. Traditional practices still dominate the RLDM process. While the adoption of SBD applications is starting to appear within retail planning, they are not widespread. Traditional data sources, such as those highlighted in past studies by Hernandez and Emmons (2012) and Byrom et al. (2001) are still the most commonly used data sources. It was evident that at the heart of SBD adoption is a data environment that promotes transparency and a clear corporate strategy. While most retailers are aware of the new SBD techniques that exist, they are not often adopted and routinized