Extracting Value from the Supply Chain with Mobile Technologies

Abstract

This paper attempts to alleviate some of the current confusion about the capabilities of mobile technologies in the context of the enterprise and its supply chain. Unique features that differentiate m-business from e-business are explored. We highlight the sources of value creation of m-business applications by extending a theoretical framework proposed by Amit and Zott (2001), and we suggest potential areas in which mobile technologies appear exceptionally suited to produce cost savings or opportunities for differentiation of product or services. Two dimensions of value creation stand out: efficiency and novelty.     

Leveraging uncertainty through backorder

Business models based on postponement are being increasingly adopted by firms in categories ranging from consumer electronics and information technology to automobiles. Backorder is one example of this system wherein firm produces the product after receiving an order from the customer and they represent a stark contrast to the traditional Make-to-stock (MTS) system where firm anticipates demand and satisfies it from finished inventory. The popularity of postponement is primarily attributed to the operational efficiencies that it can generate for a firm in dealing with highly uncertain and dynamic demand environments. Our focus in this paper is on understanding the implications of the interaction of demand uncertainty and consumer heterogeneity for the optimality of these different systems. We show that the combination of these two forces requires the firm to use both backorder and MTS simultaneously. The optimality of backorder depends on the extent of demand uncertainty—products that exhibit relatively higher demand volatility are better candidates for backorder. Importantly, the combination of the two systems has significant implications for the firm’s product line decision (in terms of product qualities) and pricing.     

Leveraging Information Across Categories

Companies are collecting increasing amounts of information about their customers. This effort is based on the assumption that more information is better and that this information can be leveraged to predict customers' behavior in a variety of situations and product categories. For example, information about a customer's purchase behavior in one category can be helpful in predicting his potential behavior in a related category, which in turn could help a firm in its cross-selling efforts. In this paper, we present a model to better understand and predict a consumer's purchases and preferences when we may have limited or no information about him in one or more product categories. Conceptually this involves leveraging information from purchases of other consumers in multiple categories as well as partial information (e.g., purchase in one of the categories) of the target consumer. Our approach builds on the pioneering work of (Rossi et al. (1996)) who demonstrate the value of purchase information in the context of a single product category. We present results from an extensive simulation as well as an application on scanner panel data. Our simulation shows many interesting and somewhat surprising results. Specifically, we find that compared to a single-category analysis, a cross-category analysis does not lead to any significant improvement in data likelihood in most cases. Therefore, the single-category analysis of (Rossi et al. (1996)) is even more powerful than previously thought. However, we also find that a cross-category analysis does improve parameter recovery in many situations as compared to a single-category analysis. It is in these conditions that retailers can use cross-category information to better implement micro marketing programs. We demonstrate the transfer of information across categories in an application of two grocery products—Breakfast Foods and Table Syrup. In spite of a reasonable correlation (0.21) in the price parameter across these two categories, our simulation guidelines predict very little benefit of cross-category analysis over single-category analysis. Our empirical results confirm this prediction.     

Leveraging Green IS in Logistics

Logistics and especially road transportation account for a major proportion of global greenhouse gas emissions. Thus, increasing eco-sustainability is particularly important in this sector. Green information systems can support the transition towards more eco-sustainable business processes in logistics. To date research in Green IS has been dominated by conceptual and empirical studies, while the community has been reluctant to do design science research developing IS artifacts. Addressing this gap, we develop and evaluate a Green IS artifact for GHG emission tracking in road transportation processes – named Carbon Tracker. The design process was guided by design principles derived from prior Green IS literature. The artifact enables more eco-sustainable practices in logistics to emerge as it provides detailed information about GHG emissions that is indispensable for advanced organizational sense- and decision-making. The evaluation shows that the use of Carbon Tracker leads to more accurate and detailed information on emissions as well as more seamless and efficient workflows than today’s best-practice approaches. Thus, the paper demonstrates how Green IS can be leveraged for more eco-sustainable and efficient business processes and paves the way for further design-oriented research in the Green IS domain.     

Technological Resource Leveraging and the Internationalisation of New Ventures

A growing body of research on international entrepreneurship suggests that new ventures have succeeded in entering international markets by creatively exploiting their tangible and intangible technological resources. Using the resource-based view of the firm, this paper explores the impact of leveraging selected tangible and intangible technological resources on the speed and degree of sales internationalisation among US software new ventures. Even though R&D investments are not significant predictors of the speed or degree of sales internationalisation, technological networks and technological reputations are. The interactions of networks and reputation with R&D spending are also positively and significantly associated with higher sales internationalisation. Technological networks also interact positively with R&D spending to expedite sales internationalisation, but the interaction of these investments with technological reputations is not significant. The results show that intangible technological resources play an important role in the internationalisation of software new ventures' sales. The implications of the findings for future international entrepreneurship research are discussed.     

Leveraging sponsorship with corporate social responsibility

Sponsors increasingly engage in corporate social responsibility (CSR) activities surrounding sponsored events (e.g., the soccer World Cup and Olympic Games). This study examines how linking CSR to sponsorship affects consumer attitudes towards sponsoring brands. Schema theory suggests that consumer CSR perception and brand credibility act as serial mediators. They transfer the positive effects of a CSR-linked sponsorship strategy. These effects only occur for brands with a moderately low congruity to the sponsored event (but not for brands with a moderately high congruity to the sponsored event). Two experiments measuring (Study 1) and manipulating (Study 2) sponsor–event congruity confirm the proposed mediation mechanism for brands with a moderately low sponsor–event congruity. CSR-linked sponsorship (vs. sponsorship without CSR linkage) does not influence attitudes towards brands with a moderately high congruity to the sponsored event. The study develops theoretical and practical implications for sponsorship and CSR strategies.     

Leveraging Equity Across The Brand Portfolio

Industry informants suggest that the equity of well-known, established brands can be leveraged to create value for unfamiliar or less-established brands. To the extent that cues in the retail environment imply some commonality between the high-equity brand and the less-established brand, benefits to the less-established brand may be expected. We refer to this implied commonality as strategic equivalence. Sharing the retail brand portfolio with high-equity brands is one way of establishing strategic equivalence. Display structure—whether the brands are displayed separately or intermixed—can also affect perceptions of strategic equivalence. In two studies, we demonstrate the ability of high-equity brands to increase the value of lower-equity brands in the same retail department and the ability of display structure to moderate this effect.     

专有技术出资的特殊性及对策研究

专有技术作为一种无形资产,因其特殊性,在其作为资本出资入股时与货币、实物、知识产权、土地使用权等可以用货币估价并可以依法转让的非货币财产存在一定的差异。公司注册登记等法律法规应对专有技术出资进行特别规定,出资人、入资企业也应采取相应措施。     

Leveraging loyalty programs using competitor based targeting

Quantitative Marketing and Economics - Loyalty programs (LPs) are widely used by firms but not well understood. These programs provide discounts and perks to loyal customers and are costly to...     

Leveraging knowledge-based resources: The role of contracts

Every firm faces the challenge of leveraging valuable resources in the form of the intellectual assets, know-how and expertise of itself and others around it. They can only achieve this through interaction with other idiosyncratically capable firms. But through interaction, resources, activities and actors themselves evolve in relation to each other. In this situation of complex business interaction and uncertainty, the conditions under which the respective knowledge and expertise can be leveraged often need to be expressed and manifested as joint consent between the involved parties. Designing an agreed platform for using knowledge-based resources of others poses a real challenge for many companies because the knowledge that firms need to access is inherently indeterminate and continually evolving. This study addresses this issue by investigating the role of contracts in leveraging knowledge-based resources. The study builds on an interactive view of resource leveraging in general and on ideas on knowledge-based resources in particular (Håkansson et al., 2009). The paper reports on empirical research conducted between 2003 and 2007 that examined real-world contracts in manufacturer-retailer networks. The study draws conclusions on the role of contracts in leveraging knowledge-based resources and more widely on the dialectic nature of resource transformation.     

Innovation analytics: Leveraging artificial intelligence in the innovation process

Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly attributed to humans. Extant literature—coupled with our experiences as practitioners—suggests that while AI may not be ready to completely take over highly creative tasks within the innovation process, it shows promise as a significant support to innovation managers. In this article, we broadly refer to the derivation of computer-enabled, data-driven insights, models, and visualizations within the innovation process as innovation analytics. AI can play a key role in the innovation process by driving multiple aspects of innovation analytics. We present four different case studies of AI in action based on our previous work in the field. We highlight benefits and limitations of using AI in innovation and conclude with strategic implications and additional resources for innovation managers.     

Leveraging Associations: The Promotion of Cultural Sponsorships

SUMMARY

Sponsorship of the arts is growing as a marketing communication method, and companies are using this tool to achieve various business objectives. These include branding, corporate hospitality, and building community relations. The activities that the companies engage in to promote the sponsorships are guided by the objectives they wish to achieve. Additional leveraging is supported by advertising and public relations for branding. For corporate hospitality, promotional support is vested in personal selling with public relations initiatives. For community relations, promoting the sponsorship is focused primarily on public relations activities with an emphasis on personal selling.     

The Performance of Proprietary Compared with Mutual Life Offices

This paper is a structure conduct performance analysis of the executive search and selection industry. The industry illustrates well the general problems of applying this framework to service industries. Structure and conduct can be analysed with some modifications to techniques but it is in the area of performance that the analysis is most difficult to apply. Much of the analysis is based on a comprehensive survey of the UK industry carried out by the authors.     

Leveraging employee emotional intelligence in casino profitability

Drawing on the link between service quality and casino profitability, this paper describes the roles of frontline employees in delivering casino service quality and analyses how management can nurture employee emotional intelligence's (EEI) contribution to casino revenue growth. This study is conceptual in nature. The analysis builds from identifying the emotional contents embracing service encounter involving casino frontline employees and customers. The identification area approaches from emotional work performed by employees, referred to as emotional labor, the emotional service delivered by casinos, customer attributed emotions and emotional contagion. The study comprehensively analyses how EEI can manage and regulate emotionally charged service encounters which subsequently affect customers’ perception of employee behaviours and service performance over service encounters. These encounter performance forms customers’ perception of casino service quality which leads to customer loyalty and ultimately casino profitability. This theory-focused study presents an additional venue with great potential for casinos to enhance business performance and financial growth, as well as providing new insights into the role of EEI in organizations for researchers in the relevant field.     

Leveraging brand equity to attract human capital

We propose that brand equity can influence job seekers’ perceptions of job opportunities. Our results suggest that job seekers view working for a strong brand as a way to build the power of their résumé. The belief that strong brands build powerful résumés is, in part, the outcome of job seekers’ beliefs that working for a strong brand will allow them to advance to better positions internally, provide them job-related training and skills, and demonstrate their willingness to work hard. In turn, job seekers express a greater desire to work for strong brands as measured by salary requirements and perceptions of job appeal in experiment 1 and job choice in experiment 2.

Leveraging firm-level marketing capabilities with marketing employee development

Using the theoretical foundations of the resource-based view of the firm, this study develops and measures marketing employee development capabilities and investigates how it moderates the relationships between brand and customer relationship management capabilities and firm performance outcomes. Based on a random sample survey of chief marketing executives from selected industries, combined with objective firm performance indicators and controls, results demonstrate that marketing employee development capabilities can leverage the relationships between firm-level marketing capabilities and customer satisfaction, market effectiveness, and objective financial performance. Further, these results show that such capabilities can be complementary and, in some cases, even substitute for each other, which improves organizational performance. Implications for researchers and marketing managers are discussed.     

Leveraging the co-evolution of offline and online video games: an empirical study

Considerable research has been carried out on online shopping and the implications of this purchasing format for consumers and retailers. Most of these studies have focused on consumer attitudes towards online shopping, and how these can be useful predictors of online shopping adoption. Notwithstanding these insights from adoption theory, existing research has yet to distil the most effective means of understanding consumers’ attitudes towards online video game purchases. Based on a qualitative study, our study contributes to literature on adoption theory by presenting some explanations involving online video games purchases by identifying salient perceptions of online and offline motivations and advances ideas on the facilitating role of incentives in making purchase decisions.     

Insights on the go: Leveraging business podcasts to enhance organizational performance

Managers need to stay connected to current trends and gather new insights to maximize organizational performance, but many struggle to find the time to read enough to remain informed. Business podcasts—digital episodic series covering a variety of business topics in an easy-to-consume audio format—are a relatively new tool that can help solve this dilemma. Business podcasts that offer unique perspectives on salient topics can teach managers valuable techniques for dealing with common business issues and keep them up-to-date on the latest business news. In this article, we introduce 10 popular business podcasts and discuss the insights for improving organizational performance offered in exemplary episodes of each series. Episode content ranges from detailed profile interviews of top executives and their day-to-day activities to the impact of national and global events on specific industries or businesses.     

从债务融资角度看我国国有企业治理结构及其改善

债务融资不仅是企业的一种融资手段,它对公司治理也具有重要影响。从债务融资角度看我国国有企业治理结构存在某些缺陷,债转股无效。为此,提出解决国有企业困境的办法,以改善我国国有企业公司治理结构。