Diversity in IS research : a fictive metaphor analysis

In striving to understand Information Systems phenomena Information Systems researchers frequently draw on a seemingly endless array of different disciplines to inform their studies. This act has drawn both the ire and admiration of those within the field as well as those outside its porous boundaries. On the one hand Information Systems researchers are berated for being chaotic and schizophrenic in their combined research endeavour - for producing a collective output that shows neither rhyme nor reason. On the other hand they are praised for being intellectually open and democratic in their approach. These reactions draw their strength from the many issues that stem from diversity in Information Systems research. These reactions are stimulated in part by the assertion that research in the Information Systems discipline is diverse. Despite this assertion not much is known or understood about diversity in Information Systems research. This thesis addresses this critical oversight by making research diversity the prime focus. The contributions it makes to current understandings of research diversity in Information Systems are philosophical, theoretical and empirical. Philosophically, this thesis relies on the novel approach of fictism - a blend of positivism and interpretivism. Theoretically, it explores diversity through the alternative lens of concepts. Empirically it examines the conceptual diversity of three key Information Systems concepts: organisations, technology and people. Grounded in Lakoff and Johnson's (1980) work with metaphors, the results show that Information Systems research may not be as diverse as was initially thought. Of the three primary views of key Information Systems concepts - machine, organism and culture - the study finds a distinct bias toward conceptualising these concepts as machines. This bias, one that exists at the very core of the Information Systems research endeavour, has important implications not only for individual researchers but the broader Information Systems community alike

Managing Customer Complaints in Online Auction Markets

The purpose of this multiple case study was to explore strategies managers in the online auction industry used to manage customer complaints to improve customer satisfaction. The targeted population consisted of 4 managers of online auction companies in the southwestern region of the United States. The conceptual framework for the study was Argyris and Sch�n\u27s double-loop learning theory. Data were collected via semistructured interviews with business managers, observation of company operations and behaviors, review of documentation, and member-checking activities. Data analysis consisted of text interpretation of data and notes using coding techniques. Data analysis resulted in 5 themes: business orientation, customer purview, complaints handling, coping strategies, and learning abilities. The implications of this study for positive social change include facilitating the growth of online markets and increasing lower-cost purchasing opportunities for consumers with limited access to conventional marketplaces

Dynamics of Information Diffusion and Social Sensing

Statistical inference using social sensors is an area that has witnessed remarkable progress and is relevant in applications including localizing events for targeted advertising, marketing, localization of natural disasters and predicting sentiment of investors in financial markets. This chapter presents a tutorial description of four important aspects of sensing-based information diffusion in social networks from a communications/signal processing perspective. First, diffusion models for information exchange in large scale social networks together with social sensing via social media networks such as Twitter is considered. Second, Bayesian social learning models and risk averse social learning is considered with applications in finance and online reputation systems. Third, the principle of revealed preferences arising in micro-economics theory is used to parse datasets to determine if social sensors are utility maximizers and then determine their utility functions. Finally, the interaction of social sensors with YouTube channel owners is studied using time series analysis methods. All four topics are explained in the context of actual experimental datasets from health networks, social media and psychological experiments. Also, algorithms are given that exploit the above models to infer underlying events based on social sensing. The overview, insights, models and algorithms presented in this chapter stem from recent developments in network science, economics and signal processing. At a deeper level, this chapter considers mean field dynamics of networks, risk averse Bayesian social learning filtering and quickest change detection, data incest in decision making over a directed acyclic graph of social sensors, inverse optimization problems for utility function estimation (revealed preferences) and statistical modeling of interacting social sensors in YouTube social networks.Comment: arXiv admin note: text overlap with arXiv:1405.112

Online Reverse Auctions for Procurement of Services

Online reverse auctions, in which a buyer seeks to select a supplier and suppliers compete for contracts by bidding online, revolutionized corporate procurement early this century. Shortly after they had been pioneered by General Electric, many companies rushed to adopt reverse auctions but the adoption soon slowed down due to the negative effects of auction-induced competition. Today, as firms continue to experiment with the reverse auctions, it is important to understand how the interplay of the auction context, the service characteristics, and buyer-supplier relationships affects auction outcomes and the success of the auctioned projects. This PhD dissertation investigates online reverse auctions in service industries (e.g. software development, building construction). The differences between services and products (services can be more difficult to describe and require more intensive communication) challenge theories that try to explain auction outcomes. We study several aspects of auctioning service contracts: the buyer’s choice between auctions and negotiations; the contract allocation decisions in auctions; the heterogeneity of buyers’ procurement behaviour; and the effect of auction outcomes on buyer-supplier relationships and project performance during the project execution. Some of the key findings are: 1) that the buyer’s repeat exchange interaction with vendors as well as the satisfaction with a vendor’s past performance lead to the buyer’s preference for using bilateral negotiation to allocate the next project; 2) that there are five buyers’ tactics that allow to increase the likelihood of contract allocation; 3) that the outcomes of online reverse auctions can aggravate project managers’ role constraints and that project managers can use relational exchange competences to overcome these constraints. Overall, buying services through online reverse auctions is quite different from buying products. This thesis makes the first steps to develop theoretical knowledge to account for that difference

Do you need to trust to co-create? an exploration of the influence of interpersonal Trust on value co-creation in customer-salesperson interaction in transactional and relational service exchange

This qualitative study explores how interpersonal trust influences the co-creation of value in transactional and relational customer-salesperson interaction in service industries. Despite the suggestion that value co-creation is the purpose of interaction and professional relationships and the identification of trust as a vital antecedent of successful customer connections, this potentially significant interrelation has not yet been examined. Through 46 semi-structured interviews with customers and specialists (i.e. salespeople) as well as other employees of six internationally operating fine arts auction houses, a conceptual model and set of propositions is developed that consider the perspectives of both actors and analyse the generative mechanisms involved in value co-creation on the interpersonal level. It was found that trust gradually evolves across intertwined interaction levels through continuous re-evaluation of the other actor’s trustworthiness, which is based on their perceived ability, integrity, benevolence and the establishment of rapport. The priority of these antecedents, however, varies significantly between customers and specialists. The emergent mutual trust enables the customer to exercise their causal power to disclose their value-generating processes and the specialist to understand and participate in these. Furthermore, there was strong evidence that the nature of the value sought by customers can be distinguished into episode and relationship dimensions – the value proposition of the specialist, however, initially only covers the former facet. Thus, the disclosure and identification of the customer’s value systems also enables the specialist to use their own causal power to adapt their value proposition according to the customer’s desired value dimension, thereby differentiating their service from competitors. Driven by mechanisms such as a commitment to work together, share interests and achieve common goals, this process results in the co-creation of episode and/or relationship value structures for the customer. It was further shown that due to the customer’s input, the actors also realise concrete episode and/or relationship value structures for the specialist, therefore engaging in mutual instead of unidirectional value co-creation

Creating business value through e-marketplace trading

Electronic marketplaces (e-marketplaces) have been researched over many years from the study of electronic data interchange (EDI) systems to the current internet based trading platforms. Early e-marketplaces connected a buyer and supplier using proprietary systems that established a market hierarchy. The buyer was responsible for the system, established the terms of trade and the electronically enabled supplier could connect to the system. These systems were costly to build, which limited their use, and only organisations with an integrated system could use them. The web based e-marketplaces opened up the possibility of connecting many buyers and suppliers and enabling electronic transactions. The e-marketplace offers opportunities for establishing trade relationships with many organisations across the world. Business to business (B2B) e-commerce is a significant part of the Australian economy and there are opportunities to take advantage of e-marketplace trading. One of the advantages of electronic trading is the ability of the technology to deliver transaction benefits; these can have a significant impact on organisations regardless of organisational size. However, despite the potential of the e-marketplace to deliver organisational benefits there have been limited studies which consider the strategic implementation of e-marketplace trading. Organisational strategy and the implementation of strategic initiatives involve interactions between organisational structures and agents. The analytical dualism this represents complicates uncovering the fundamental causes of e-marketplace participation. Not only does the adoption of e-marketplace trading impact on the buyer and supplier organisations, it introduces the e-marketplace vendor organisation and the e-marketplace technology into the participation decision. The complexity of the interactions across organisational structures and between organisational agents and technology adoption can produce a diversity of outcomes. The philosophical underpinning of critical realism for the study is supported by the lack of understanding as to why, and in what circumstances, organisations successfully participate in e-marketplace trading. The critical realist philosophy provides the opportunity to understand the interrelationships between context, organisational structures and agents and identify the causal mechanisms involved in producing various outcomes. It allows for the development of middle level theory as existing theories are examined to explain the perceived phenomena. Large organisations operating in Western Australia are used as case studies to uncover the causal relationships between context, structures and agents that can produce successful, strategic implementation of e-marketplace participation. Existing literature in relation to e-marketplaces and IT adoption is used to develop the research questions and formulate the interview questions. The structured case methodology is used to analyse each case and relate the findings to possible explanatory theories. Context, mechanism and outcome patterns, identified in each case, are presented. Building on economic market, institutional and network theories the research identifies organising vision theory and community discourse as explanations for organisational legitimation that can circumscribe the use of e-marketplace trading. Six types of community group that influence organisational adoption of e-marketplace technology are identified. The research suggests that the influence of these groups within the organisation, the fit with organisational culture and strategic objectives can prevent or instigate change. Further, the decision making process supported by the group (or group member) is more influential in the strategic adoption of the e-marketplace than the ability of the technology to deliver efficiency or transaction processing gains. This implies that technology adoption studies should include contextual and environmental issues and practitioners should examine how much their decision making is influenced by organisational and environmental features. The thesis contributes to the discussion on organising vision theory, e-marketplace trading and business value creation. It demonstrates the application of the structured case study methodology to research that is underpinned by critical realism

Global Art Market in the Aftermath of COVID-19

Although the global art market has often been resilient to international economic and political events, it has recently faced some of its biggest challenges under the influence of COVID-19. Among others, the pandemic and the accompanying restrictive administrative measures taken by world governments have significantly influenced such key economic indicators as gallery employment, art sales, and the organization of international art fairs. The Special Issue "Global Art Market in the Aftermath of COVID-19" studies various economic, social, and political impacts of the COVID-19 pandemic on the global art market’s current state and future evolution

Exploring Sellers' Experiences in the C2C Online Auction Environment

Online auction websites are becoming increasingly important as an intermediary for both sellers and buyers. They offer consumers an alternative source of goods to those sold at retail stores and other second-hand traditional consumer-to-consumer (C2C) channels, such as garage sales or flea markets. They also represent a new market model which incorporates a new distribution channel and a new means of establishing prices. Some researchers predict that retailers are now facing a new competition and the potential for declining sales as a result of the cannibalisation effect of the C2C online auction market. Noticeably, although much research has been carried out in an attempt to understand online auctions in relation to buying behaviour, little effort has been made to investigate the dynamic nature of individual sellers, in particular C2C sellers, in the online auction environment. Therefore, this study is aimed at filling in the gaps by exploring the sellers' behaviour and experiences in the C2C online auction environment. Its objectives are: (1) to explore the learning process that individual sellers go through in the C2C online auction environment; and (2) to find out what skills and techniques are commonly used by sellers and how these skills have been applied when marketing their products in the online auction environment. This study used a qualitative method, and a market-oriented ethnography was adopted. Data was collected through semi-structured in-depth interviews with sellers on TradeMe and from a wide range of archival documents. Nineteen sellers were recruited to participate into this study. Consequently, a learning model has been built, based on the consumer socialisation model, to explain the learning process of sellers as they become experienced in the C2C online auction environment. The findings from this study highlighted that sellers went through a learning process to become more experienced in online auctions. Moreover, different learning methods occurred at different stages of the learning process, including social interaction, observing and imitating, rewards and punishments, and other sources of information. This study also demonstrated the fact that sellers both implicitly and explicitly perceived the importance of marketing strategies and tactics and had extensively applied them. Several implications and recommendations arise from this study, including the need for more in-depth research on sellers' behaviour and experiences, using a longitudinal approach. Additionally, it is recommended that TradeMe should continue to improve their auction site in order to attract more sellers which, in turn, will lead to a greater number of buyers

The power to flourish: Unearthing the roots of Kenyan flower producers' market access strategies

Powering Kenya’s agricultural economy, the Kenyan flower industry is prided as an example of successful African integration into global agricultural trade. Export markets are bifurcated due to a marked shift from the Dutch flower auctions and an increase in trade within ‘direct markets’ which includes supermarkets and florists. While flower production is dominated by a few vertically integrated, large scale flower farms (>100 ha), mid-scale (20-80 hectares) and small-scale (>0.25 hectares) flower farms which are the focus of the thesis, face a unique set of challenges in terms of navigating access to the more stable direct markets. The overall narrative is that even in a buyer-driven market, Kenyan cut flower producers at the mid and small scale have agency, and they exercise their bargaining power for favourable export access by diversification and differentiation in strategies and networks. Two meta-narratives framing the sector coalesce around the development angle which showcases contestations around labour and environmental abuses and the political economy angle focusing on governance structures and power relations of production. This thesis goes deeper than these meta narratives by introducing micro-level, relational perspectives using the GPN framework, and asks what strategies Kenyan mid and small scale cut flower producers employ to navigate the shifts in export markets as producers diversify from the Dutch auctions towards supermarkets. My findings identify diversification as the common factor in mid and small scale producers’ strategies for securing a range of lucrative export markets. Producers’ enhance their bargaining power to access diverse markets through adaptable production, relationally through collective action, and in the regulatory sphere by circumvention, compliance or contestation for more favourable ‘rules of the game’. Going beyond labour and environmental analyses, the thesis uniquely analyses the knowledge economy originating from the cut flower sector as an undertheorized aspect of its development impact.The Cambridge Commonwealth European and International Trust, the University Field Work Fund, the Smuts Memorial Fund, the African Studies UAC of Nigeria travel fund, the Centre of Development Studies PhD fieldwork fund, Jesus College, the Cambridge Political Economy Society Trust (CPES), and the Christian International Student Network (CISN