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The purpose of this paper is to examine whether focused attention on a firm by an external organization, group, or influential analyst generates greater investor awareness that can affect a firm's value and cost of capital. This study is motivated by contemporary research that provides support for the hypothesis that investors have limited attention. Prior studies have focused on how investors' limited attention has influenced their analysis of firm‐specific financial data. The studies have shown that investors may have limited attention and hence pay more attention to the more salient financial statement items. This paper extends this stream of research by empirically testing to determine if external sources attract investors' limited attention to a firm.

The paper examines the published monthly Center for Financial Research and Analysis (CFRA) research reports from 1998 through 2004 that identify firms experiencing operational problems and/or using unusual or aggressive accounting practices. To provide evidence that information appearing in CFRA research reports has not already been impounded into a firm's stock price prior to the publication of the CFRA research report, the paper tests for abnormal returns around the publication of the CFRA research reports. Second, to provide evidence that the firms' cost of capital decreases after the publication date of the CFRA research reports, the paper tests for a decrease in the bid‐ask spreads after firms appear on the CFRA research reports.

Support was found for the hypothesis that firms experience a significant decline in their market value in the days surrounding their appearance on the CFRA research reports. For a sample of 892 firms, the cumulative abnormal returns (CARs) for a two‐day window around a firm's appearance on a CFRA research report is −1.89 percent, and the CARs for a seven‐day window around a firm's appearance on a CFRA research report is −3.50 percent.

The paper's findings suggest that the information from the fundamental analysis conducted by the Center for Financial Research and Analysis has not already been impounded into a firm's stock price before its appearance on a CFRA research report. Although the paper found a decrease in the mean difference in the bid‐ask spread change, it cannot provide statistically significant support for the hypothesis that a firm's cost of capital decreases after appearing on a CFRA research report.

Introducing additive manufacturing (AM) in a multinational corporation with a global spare parts operation requires tools for a dynamic supplier selection, considering both cost and delivery performance. In the switchover to AM from conventional manufacturing, the objective of this study is to find situations and ways to improve the spare parts service to end customers.

In this explorative study, the authors develop a procedure – in collaboration with the spare parts operations managers of a case company – for dynamic operational decision-making for the selection of spare parts supply from multiple suppliers. The authors' design proposition is based on a field experiment for the procurement and delivery of 36 problematic spare parts.

The practice intervention verified the intended outcomes of increased cost and delivery performance, yielding improved customer service through a switchover to AM according to situational context. The successful operational integration of dynamic additive and static conventional supply was triggered by the generative mechanisms of highly interactive model-based supplier relationships and insignificant transaction costs.

The dynamic decision-making proposal extends the product-specific make-to-order practice to the general-purpose build-to-model that selects the mode of supply and supplier for individual spare parts at an operational level through model-based interactions with AM suppliers. The successful outcome of the experiment prompted the case company to begin the introduction of AM into the company's spare parts supply chain.

Enterprise Systems are comprehensive and complex applications that form the core business operating system for many companies worldwide and throughout most industries. The selection, implementation, use and continuous change of Enterprise Systems (ES) (e.g. mySAP.com) require a great amount of knowledge and experience. Due to the lack of in‐house ES knowledge and the high costs of engaging experienced implementation consultants, organizations realize the need to better leverage their knowledge resources. Managing this knowledge is increasingly important with the second wave of ES projects focusing E‐Business applications like Customer Relationship Management (CRM) and Supply Chain Management (SCM). These new applications embrace an open‐integration strategy that will incorporate and support other vendors’ applications as part of its Internet‐based enterprise computing platform. This paper proposes a framework for managing knowledge in Enterprise Systems. The framework draws its strength from meta‐case studies and comprehensive literature analyses, which is consolidated into a three‐dimensional framework. The preliminary results show that the importance of value‐adding activities and innovation are elemental to knowledge management in the aspect of ES.

Platforms in two-sided markets are known to provide subsidies to either buyers or sellers, in order to take advantage of cross-group externalities inherent in such industries. Online travel agents can be thought of as platforms facilitating trade between passengers and travel service providers (airlines). This chapter evaluates the effects of a buyer subsidy provided by one major US online travel agent – a low-price guarantee offered by Orbitz. We find evidence consistent with increased airline participation with this travel agent upon implementation of the low-price guarantee policy. Our results also confirm the theoretical claims that most-favored customer low-price guarantee policies are procompetitive.

This chapter provides an introduction to how the inquiry-based learning (IBL) approach is being used by colleges and universities around the world to improve faculty and institutional development and to strengthen the interconnections between teaching, learning, and research. This chapter provides a synthesis and analysis of all the chapters in the volume, which present a range of perspectives, case studies, and empirical research on how IBL is being used across a range of courses across a range of institutions to enhance faculty and institutional development. This chapter argues that the IBL approach has great potential to enhance and transform teaching and learning. Given the growing demands placed on education to meet a diverse range of complex political, economic, and social problems and personal needs, this chapter argues that education should be a place where lifelong and lifewide learning is cultivated and where self-directed learning is nurtured. To that end, this chapter argues that IBL helps cultivate a learning environment that is more meaningful, responsive, integrated, and purposeful.

The purpose of this paper is to investigate the effect of original equipment manufacturing (OEM) suppliers’ electronic integration with global customers on their capability widening, following the literature on electronic integration, firm innovativeness, product modularity and dynamic capabilities. It also examines the moderating roles of supplier innovativeness and product modularity in the proposed relationship.

This study conducts empirical examination on a sample of OEM suppliers in Taiwan. It collects 201 self-reported responses via mailed surveys of 1,069 electronics companies listed in the 5000 Largest Firms in Taiwan, and the archival data are obtained from the Taiwan Economic Journal database.

The results show that electronic integration with global customers affects capability widening negatively, whereas supplier innovativeness affects capability widening positively. In addition, product modularity plays a moderating role in the relationship between electronic integration and capability widening.

This study contributes to the electronic integration literature by providing empirical evidences on how OEM suppliers’ electronic integration affects their capability widening. This study also adds to the supply chain management literature by demonstrating the relationship between OEM suppliers’ innovativeness and their move into higher value-added activities, as well as how product modularity interplays with electronic integration between customers and suppliers on suppliers’ capability widening in global supplier‒customer relationships.

For OEM suppliers with a low level of product modularity, they may widen their capabilities by exploring other value-added activities (e.g. original design manufacturing or original brand manufacturing). For OEM suppliers with a high level of product modularity, the improvement of their manufacturing capabilities is a helpful approach to create competitive advantage.

This study is one of the first to examine the interplay between electronic integration and product modularity on capability widening of OEM suppliers from an emerging market. Meanwhile, this study provides support for the relationship between supplier innovativeness and innovative activities in the global supply chain context.

The fuel retailing landscape in India is undergoing a structural shift with the reforms undertaken by the government that would help the private and foreign firms to enter this market. India is poised to become the world's largest growth market for energy by the mid-2020s. IoT has become an integral digital technology for the fuel retailers in the retail oil outlet (ROO) ecosystem. The purpose of this paper is to develop an Internet of Things (IoT) business model for the Indian oil marketing companies (OMCs') ROOs.

Using literature review along with a survey among 660 respondents led to 402 valid observations, and the variables that contributed to IoT adoption at the OMCs' ROOs were identified. Using the BMC tool (Osterwalder and Pigneur, 2009), the relative importance of the variables within each building block was established. The means of all the variables were measured against the average of all the variables, and significant differences were searched for in each block. The notable differences of the means along with significant high and low means were highlighted.

This paper depicts empirical research that led to a framework of an IoT business model for Indian public sector ROOs. It also represents the usefulness of the Technology-Organization-Environment framework at the OMCs ROOs and extends the literature by incorporating “data security” to the existent framework of technology, organization and environment within the IoT ecosystem.

The outcome of the research should be analysed in the Indian context as all the respondents were from India. The study was conducted for the ROOs of Indian Oil Corporation Limited, Hindustan Petroleum Corporation Limited and Bharat Petroleum Corporation Limited and excluded their downstream operations. The dispensers in the OMCs vary along with their marketing strategies in the retail segments. The IoT business model can be customized for a particular OMC, which is scope of further research.

The study has practical implications for those global fuel retailers embarking on the IoT adoption drive at their ROOs about the need to install “data security” measures in the connected IoT environment. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.

The new emerging technological business models provide competitive edge to those organizations adopting them (Barney, 1991; Clemons and Row, 1991; Feeny and Ives, 1990). The study will enable the OMCs to implement the IoT business model at their ROOs for enhancing their revenue streams and profitability and lowering of operating costs. The study provides insights on how the OMCs can stay ahead of competition in the Indian market vis-à-vis the private sector fuel retailers by embracing the IoT business model.

The contribution of the paper is that it is among the first to map the variables that contribute to IoT adoption at the OMCs' ROOs, within the building blocks of the BMC tool (Osterwalder and Pigneur, 2009), according to their importance. To retain their dominance and have a first-mover competitive advantage, this study enables the OMCs to adopt the IoT business model and transform their ROOs into Internet-connected intelligent fuel outlets.

This study provides a comprehensive framework of adaptation in triadic business relationship settings in the service sector. The framework is based on the industrial network approach (see, e.g., Axelsson & Easton, 1992; Håkansson & Snehota, 1995a). The study describes how adaptations initiate, how they progress, and what the outcomes of these adaptations are. Furthermore, the framework takes into account how adaptations spread in triadic relationship settings. The empirical context is corporate travel management, which is a chain of activities where an industrial enterprise, and its preferred travel agency and service supplier partners combine their resources. The scientific philosophy, on which the knowledge creation is based, is realist ontology. Epistemologically, the study relies on constructionist processes and interpretation. Case studies with in-depth interviews are the main source of data.

The shift from physical (brick and mortar) stores and hard copy catalog stores toward electronic stores (e‐tailing) may be seen as a continuous innovation building on past changes brought about by in‐home shopping methods such as catalog, TV and direct mail. Why are e‐tailers then having such difficulty retaining their customers? In this paper, we examine the influence of consumer characteristics on perception of shopping benefits associated with electronic and physical shopping. Based on a mail survey of upscale US households, the empirical study finds the two shopping formats to be clearly different from each other in terms of perceived shopping benefits. The data supports the influence of individual characteristics (such as age, household income and family composition) as well as past behaviors on the shopping benefits associated with the two modes of shopping.