Customer relationship management in retailing: A content analysis of retail trade journals

The purpose of this research was to increase knowledge and understanding of how retailers use business intelligence and data mining tools to implement customer relationship management (CRM) in retailing. Specific objectives were to (1) identify organization and infrastructure requirements for CRM effectiveness, (2) identify CRM objectives and goals of retail companies, (3) identify data mining tools utilized by retailers to perform CRM functions, and (4) identify CRM strategies used by retail companies. A keyword search within business databases using CRM and CRM identified publications with CRM content. Content analysis was used on articles (N=149) drawn from Stores, Chain Store Age, Harvard Business Review, and Retail Forward over a 5 year period (2000–2005). Selected articles were stored as text files in QDA Miner, a computerized qualitative analysis tool. Key organization/infrastructure needs emerged focusing on data structure, organizational systems, technology structure, and data accessibility. Retailers goals/objectives and strategies focused on marketing, customer service, understanding customers through data analysis and increasing acquisition and retention through customer loyalty programs. Data mining tools identified supported marketing and customer analysis efforts. Findings provide insight into the challenges retailers face as they implement a more customer-centric business strategy.     

Estimating global bank network connectedness

We use LASSO methods to shrink, select, and estimate the high‐dimensional network linking the publicly traded subset of the world's top 150 banks, 2003–2014. We characterize static network connectedness using full‐sample estimation and dynamic network connectedness using rolling‐window estimation. Statically, we find that global bank equity connectedness has a strong geographic component, whereas country sovereign bond connectedness does not. Dynamically, we find that equity connectedness increases during crises, with clear peaks during the Great Financial Crisis and each wave of the subsequent European Debt Crisis, and with movements coming mostly from changes in cross‐country as opposed to within‐country bank linkages.     

Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy

In this paper empirical evidence is presented on theelasticity of private R & D spending on its price. Acensored panel-data regression model with random effectsis applied to a balanced panel of 726 Italian firms overthe 1992–1997 period. Implied estimates point out thatItalian firms' response to policy measures (including taxcredits), aimed at reducing the user cost of R & D capital,is likely to be substantial (1.50–1.77). Furthermore, wealso find that the elasticity of R & D spending is higherin recession (2.01) than in expansion (0.87).     

The structure of bias in peer voting systems: lessons from the Eurovision Song Contest

This paper assesses whether and how common characteristics of jury members or peer voters affect the outcomes of voting systems. In particular, we analyze to what extent these common features result in voting bias. We take as a case study the Eurovision Song Contest for which an extensive amount of historical data is available. In contrast to earlier studies we analyze the impact of common factors on the bias individually for each country, which is necessary to substantiate the publicly debated accusations of regional block voting by certain groups of countries. We establish strong evidence for voting bias in the song contest on the basis of geography, even after correction for culture, language, religion and ethnicity. However, these effects do generally not correspond to the usual accusations. We believe that our findings extend to all instances where groups of jury members or peer voters share certain common factors, which may cause voting bias. It is important to identify such structures explicitly, as it can help avoiding bias in the first place. The authors are grateful to Marieke van Dijk for excellent research assistance and to Laurens Swinkels, Ieva Pudane, Gijsbert van Lomwel, Jelena Stefanovic, and Bas van den Heuvel for useful comments. The usual disclaimer applies.     

Quantitative narrative analysis software options compared: PC-ACE and CAQDAS (ATLAS.ti, MAXqda, and NVivo)

This paper shows how to carry out quantitative narrative analysis (QNA) with different text analysis software (PC-ACE, Program for Computer-Assisted Coding of Events, and various CAQDAS programs, Computer-Assisted Qualitative Data Analysis Software: ATLAS.ti, MAXQDA, and NVivo). QNA is a methodological approach to narrative texts that exploits invariant properties of narrative (namely, a “story grammar”, based on actors, actions, and their attributes) to make a statistical analysis of words possible. In comparing PC-ACE and CAQDAS, the paper leads the reader through the steps involved in setting up a grammar, in data entry, and in data query. A careful comparison of limits and possibilities of the two types of software will allow the reader interested in QNA to make an informed choice between a full implementation of QNA in a specialized but unknown software (PC-ACE) and a limited implementation in any of the widely used and popular CAQDAS programs.     

Analyzing the volume and nature of emergency medical calls during severe weather events using regression methodologies

An effective emergency medical service (EMS) response to emergency medical calls during extreme weather events is a critical public service. Nearly all models for allocating EMS resources focus on normal operating conditions. However, public health risks become even more critical during extreme weather events, and hence, EMS systems must consider additional needs that arise during weather events to effectively respond to and treat patients. This paper seeks to characterize how the volume and nature of EMS calls are affected during extreme weather events with a particular focus on emergency preparedness. In contrast to other studies on disaster relief, where the focus is on delivery of temporary commodities, we focus on the delivery of routine emergency services during blizzards and hurricane evacuations. The dependence of emergency service quality on weather conditions is explored through a case study using real-world data from Hanover County, Virginia. The results suggest that whether it is snowing is significant in nearly all of the regression models. Variables associated with increased highway congestion, which become important during hurricane evacuations, are positively correlated with an increased call volume and the likelihood of high-risk calls. The analysis can aid public safety leaders in preparing for extreme weather events.     

Firms,public good provision and institutional uncertainty: Evidence from Russia

Enterprises in post-socialist and transition economies often participate in providing infrastructure and social services to the surrounding community which in the Russian legal setting should be local authorities’ responsibility. We propose that this bundling of social and infrastructure goods provision with firm's core operations is a fully rational choice in an uncertain institutional environment. A unique survey data suggest that this manifests itself through more reliable infrastructure, stronger employee attachment to the firm and, most interestingly, through better relations with the authorities. Relationship with authorities is a two-way game where the firm gains from the arrangement but on the other faces sanctions if it decided to depart from it. Firm's participation in the arrangement is clearly enhanced by inherited fixed capital assets from the Soviet era.     

Identity, appropriateness and the construction of regulatory space: the formation of the Public Accountant's Council of Ontario

Practice rights legislation in Canada continues to be contested 50 years after its first enactment. In Ontario, one of the earliest provinces to enact restrictive legislation, the challenges have focused on how the legislation has been implemented rather than on whether or not public accounting should be regulated. To better understand the contested issues in this field, we examine the process undertaken by the Public Accountants Council of Ontario to implement the Public Accountancy Act of 1950. Our analysis is based on the first 15 years of the minutes of the meetings of the Public Accountants Council for Ontario, augmented by other archival sources such as court cases, newspaper clippings, correspondence and reports. Our intent is to document the process and “logic of appropriateness” used by the Council to construct its identity and stake out its “regulatory space” in the face of the ambiguity of the law and pressure from interest groups. We also identify the contradictions that were institutionalized in this field resulting in repeated challenges to the Council. We conclude by relating the historical insights from this analysis to the continuing challenges to practice rights legislation in Ontario.     

Sovereign debt disputes: A database on government coerciveness during debt crises

This paper measures “debt disputes” between governments and foreign private creditors in periods of sovereign debt crises. We construct an index of government coerciveness, consisting of 9 objective sub-indicators. Each of these sub-indicators captures unilateral government actions imposed on foreign banks and bondholders. The results provide the first systematic account of debt crises that goes beyond a binary categorization of default versus non-default. Overall, government behavior and rhetoric show a strong variability, ranging from highly confrontational to very smooth crisis resolution processes. In a preliminary analysis on the determinants of coercive behavior, we find political institutions to be significant, while economic and financial factors play a lesser role. These results open up an agenda for future research.