Teaching information technology alongside business analytics: Case study

Business analytics can be described as the statistical analysis of data to make decisions and meaningful conclusions. As the demand to advance the curriculum of undergraduate business education increases, courses in business analytics aim to provide students with fundamental skills in critical thinking. Educators have found that spreadsheet applications that include statistical features are easy to use and facilitate student learning. The authors analyzed student performance in an introductory business analytics course that used Microsoft Excel as a statistical tool by comparing scores from this introductory course with those from an information technology course in which only Excel skills were learned.     

An investigation of skill requirements for business and data analytics positions: A content analysis of job advertisements

Presently, analytics degree programs exhibit a growing trend to meet a strong market demand. To explore the skill sets required for analytics positions, the authors examined a sample of online job postings related to professions such as business analyst (BA), business intelligence analyst (BIA), data analyst (DA), and data scientist (DS) using content analysis. They present a ranked list of relevant skills belonging to specific skills categories for the studied positions. Also, they conducted a pairwise comparison between DA and DS as well as BA and BIA. Overall, the authors observed that decision making, organization, communication, and structured data management are key to all job categories. The analysis shows that technical skills like statistics and programming skills are in most demand for DAs. The analysis is useful for creating clear definitions with respect to required skills for job categories in the business and data analytics domain and for designing course curricula for this domain.     

Building an active semantic data warehouse for precision dairy farming

ABSTRACT

Digitalization of agricultural technology has led to the emergence of precision dairy farming, which strives for the simultaneous improvement of productivity as well as animal well-being in dairy farming through advanced use of technology such as movement sensors and milking parlors to monitor, control, and improve dairy production processes. The data warehouse serves as the appropriate technology for effective and efficient data management, which is paramount to the success of precision dairy farming. This paper presents a joint effort between industry and academia on the experimental development of an active semantic data warehouse to support business intelligence and business analytics in precision dairy farming. The research follows an action research approach, deriving lessons for theory and practice from a set of actions taken in the course of the project. Among these actions are the development of a loading stage to facilitate data integration, the definition of an analysis view as well as the introduction of semantic OLAP patterns to facilitate analysis, and analysis rules to automate periodic analyses. The large volumes of generated sensor data in precision dairy farming required careful decision-making concerning the appropriate level of detail of the data stored in the data warehouse. Semantic technologies played a key role in rendering analysis accessible to end users.     

Business analytics: Why now and what next?

Business analytics is a revolution that is impossible to miss. At its core, business analytics is about leveraging value from data. Instead of being referred to as the ‘sludge of the information age,’ data has recently been deemed ‘the new oil.’ While data can be employed for purposes such as detecting new opportunities, identifying market niches, and developing new products and services, it is also notoriously amorphous and hard to extract value from. In this Guest Editors’ Perspective, we first present a structural framework for deriving value from business analytics. Extracting value from data requires aligning strategy and desirable behaviors to business performance management in conjunction with analytic tasks and capabilities. We then introduce three special articles that provide in-depth insights regarding how business analytics is being employed in the management of healthcare, accounting, and supply chains.     

“Watch that Space! The County Hierarchy in Firm Births and Deaths in the UK, 1980–1999”

The paper investigates the relationships between registrations, de-registrations and population density at county level in the UK using VAT data for 20 years over the period 1980–1999. The rationale for this is based on the need to understand how the extent to which, in different parts of the UK, differences in the relationship between birth rates and death rates combine to produce an interpretable pattern in net birth rates. The analysis of the net birth rate shows that a strategy aimed at the net birth rate might, in principle, just as well aim at reducing business failure, rather than raising the birth rate. Indeed this might be more efficient, since it implies that less start-ups are “wasted^” as it would avoid the necessity, if targets are to be reached, of encouraging those individuals who are patently unsuited to running their own business into business ownership.     

Making Sense of Marketing Data: Some MIS Perspectives on the Analysis of Large Data Sets

Despite the growth in the size and complexity of corporate data, the technology for analyzing it has not kept up with the advances in data collection, in that managers mostly need to rely on marketing research and information systems experts to generate the analysis and reports they need. We review some useful approaches here from the computer science and information systems fields for the analysis of large data sets, viz. good data organization and the use of flexible analysis tools, for making the analysis more tractable and user-friendly. These methods are increasingly being adopted by practitioners who are hard-pressed to generate business intelligence from large corporate databases. However, the benefits of these approaches may not be confined only to practitioners, and may apply to academic researchers working with large data sets, as well.     

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.     

基于DEA的投资基金业绩分析

由于传统投资基金业绩评估方法的局限性,将数据包络分析(DEA)作为工具,建立一种投资基金业绩评估模型。意在研究基金起点基本相同和系统风险相同的前提下基金的运转效率,选取2002年成立的10家开放式投资基金作为实例,分别对他们的投入,产出和经营业绩进行分析和比较。目的是考察基金的经营效率差异及分析其中原因,以挖掘提高基金管理业绩的潜力。     

Data management regulation: Your company needs an up-to-date data/information management policy

Over the next 10 years, the intelligent use of data will become one of the greatest competitive advantages a company can possess. At the same time, the loss or mishandling of data/information is one of the bigger risks facing modern businesses. As consumers become increasingly aware of security issues, and of the value of their data, data/information policy is moving away from the ‘gather-with-consent’ approach toward a model that holds the business accountable at each stage of the process. This fundamental shift in practice will need to be reflected in the data/information management policy of the business. Yet, many companies lack up-to-date data/information policies and few recognize the growing influence of the European Union on the manner of data/information handling. This installment of Business Law & Ethics Corner seeks to assist in the development of new policy by explaining key legislative and policy initiatives in both the United States and the European Union, and by making data management policy recommendations.     

The cross-Atlantic tussle over financial data and privacy rights

Banking is an international business; both information and capital flow relatively unimpeded across international borders. Banking institutions’ information stores have increased dramatically with the spread of computers, and these institutions protect data inside their firewalls from outside eyes, and from disaster, through establishing multiple secure data repositories. However, access to banks’ databases is increasingly sought by governments and governance institutions, and restrictions are tightening on moving data across borders. Probably the most prominent example of both trends involves European Union–domiciled cross-border banking business. A key legal reason for resulting issues hinges on differing views of privacy rights: the European Union enshrines privacy as a human right, while the United States empowers rights of free speech over privacy. These differing approaches to privacy rights have caused a cross-Atlantic conflict for global banks. Caught between competing, conflicting regulations, banks’ capacity to move information and to comply with governments’ demands for it have become restricted. This restriction is happening as governments seek increased access to banks’ information for purposes of financial information statecraft—the notion that countries can influence other governments’ policies and actions through data.     

Epistemology, Research Methodology and Rule 702 of the Federal Rules of Evidence Versus Eva®

This article questions the continued use and application of EVA^® (economic value added) because it is epistemologically a non-sequitur, fails to satisfy the requirements of sound research methodology in terms of being a reliable and valid metric, and is unlikely to satisfy the requirements of Rule 702 of the Federal Rules of Evidence. In the light of these insufficiencies, the continued use of EVA^® is ethically questionable, and moreover in time is likely to result in class actions.     

Perceived Effectiveness of Simulations in International Business Pedagogy

Abstract

This paper examines the perceived effectiveness of simulations in teaching international business. A survey of third and fourth year Canadian students who participated in a web-based international business simulation was conducted using a structured questionnaire. Factor analysis was used to understand the underlying relationships in the resulting data. The study finds that, compared to traditional approaches, e.g., textbooks and cases, students viewed the simulation as a more effective learning tool. The game stimulated interest and participation among students and was effective in fostering teamwork. The simulation was also viewed as being effective in providing students with an appreciation of the international context and complexity of cross-national decision-making.     

What: An argumentative groupware approach for organizing and documenting research activities

The topic of this paper is a process‐vs.‐product design method representation called Argumentative Writing (AW). Argumentative writing is a multi‐representation approach for conducting and reporting research projects. AW has at least two representations: one for structuring the problem‐understanding/solving process and one for communicating its product to others. We discuss WHAT, a hypertext‐based tool for AW. In WHAT (Writing with a Hypermedia‐based Argumentative Tool), the design process is captured using Rittel's Issue Based Information Systems (IBIS) method (Conklin, 1988; Hashim, 1990a; Rittel, 1980). The product of the design process is represented in WHAT using a general document‐representation scheme. In the Introduction we raise four major issues that we explore in the rest of the paper. Also in the Introduction, we show the impact the WHAT approach can have on organizational computing applications such as business education and training (Hashim, Rathnam, & Whinston, 1991) and the design of dialectical organizational information systems. The section “A Methodological Basis for AW Tools”; deals with the rationale behind choosing the IBIS method in capturing the design process. The section after that explains WHAT, and the section following it explores its use as a groupware tool. The applicability of WHAT and its pros and cons are discussed in two separate sections. In the Conclusion we outline the potentiality of the approach and present suggestions for its further development. Since our first reporting on WHAT (Hashim, 1990b), the AW approach was found applicable to educational, scientific, and business areas. One such application is for structuring case discussions in business schools (Hashim et al., 1991).     

Does ownership type matter for innovation? Evidence from China

According to the institution-based view, ownership type is a key variable affecting environment-strategy configurations. This study configures the mechanism in which ownership types (as an institutional factor) moderate the effect of innovation strategies on firms' innovation performance. An empirical analysis was conducted on Chinese hi-tech manufacturing firms, using information related to the innovation activities of 303 firms. The empirical results suggest that ownership type affects the positive relationship between three sources of innovation (internal R&D activities, partnering with alliance partners, and partnering with universities) and innovation performance, as well as the negative relationship between external contracting and innovation performance (product or process innovation). The results imply that organizations doing business in China must be aware of the business environment that they intend to enter, especially if the intention is to develop new products or innovate current business processes.     

Market Orientation in the Chilean Small Business Context

Abstract

Market orientation has been considered a key factor in successful business operations across different markets. To test this assertion, the authors examine the influence of a firm's market orientation on small business performance in the Chilean retail environment. They go on to report empirical information about the characteristics of the market-oriented retailers in Chile. The Kohli, Jaworski, and Kumar (1993) MARKOR scale is used in the study to assess the market orientation in the context of a developing country environment. Data for the study were collected from small retailers in Chile through self-administered questionnaires using a drop-off/pick-up method. The results show a significant correlation between market orientation and small business performance. Path analyses found that the best structure among the Market Orientation dimensions is: Intelligence Generation→ Intelligence Dissemination → Responsiveness. Moreover, these performance measures differed significantly among the three different partitions obtained using a k-means cluster analysis. The findings indicate that the MARKOR scale is both valid and reliable in a diverse Chilean small business environment.     

The Benefits of IT-Based Supply Chains-Strategic or Operational?

ABSTRACT

Business relationships are being revolutionized by the use of inter-organizational information systems (IOSs) that connect together separate companies' business processes through the application of Information Technology (IT). The physical value chain is now paralleled by the virtual information chain. Detailed case studies from earlier research suggest that there are huge benefits to be gained from concepts such as Electronic Data Interchange (EDI), shared product design databases and shared production scheduling systems. However, there is little empirical evidence of the overall usage and outcomes of IOS implementation. In this survey, IOS benefits are evaluated using marketing derived frameworks. Evidence from 89 United Kingdom (UK)-based organizations, a large proportion of which are trading internationally, suggests that IOSs are becoming pervasive across different business processes and across different types of industry. The analysis reveals that marketing activities are now dominated by the management of the information along the supply chain and that significant benefits can be realized. However, the time-scale for implementing such systems is of the order of 5 to 10 years and there are significant barriers to successful implementation.     

Drivers of Change: A Multiple-Case Study on the Process of Institutionalization of Corporate Responsibility Among Three Multinational Companies

In this multiple-case study, I analyze the perceived importance of seven categories of institutional entrepreneurs (DiMaggio, Institutional patterns and organizations, Ballinger, Cambridge, MA, 1988) for the corporate social responsibility discourse of three multinational companies. With this study, I aim to significantly advance the empirical analysis of the CSR discourse for a better understanding of facts and fiction in the process of institutionalization of CSR in MNCs. I conducted 42 semi-structured face-to-face and phone interviews in two rounds with 30 corporate managers from three multinational companies. The data has been analyzed using qualitative (multiple coding) and quantitative (ANOVA, χ² analysis) techniques. The findings indicate that one company is driven by civil society’s influence on consumer’s perception, the second company by direct attacks by civil society, agenda setting organizations and legislators, and the third by the pressure of large customers and legislators. The results suggest that the coping behaviors of MNCs at both extremes of the spectrum of perceived responsible behavior aim at (1) improving the business case for CSR and (2) increasing legitimacy in society, resulting in converging CSR perceptions, and fostering an institutionalization of CSR.     

Start-ups by the unemployed: characteristics,survival and direct employment effects

Fostering and supporting start-up businesses by unemployed persons has become an increasingly important issue in many European countries. These new ventures are being subsidized by various governmental programs. Empirical evidence on skill-composition, direct job creation and other key variables is rather scarce, largely because of inadequate data availability. We base our analysis on unique survey data containing a representative sample of over 3,100 start-ups founded by unemployed persons in Germany and subsidized under two different schemes: the bridging allowance (BA) and the start-up-subsidy (SUS). We are able to draw on extensive pre- and post-founding information concerning the characteristics of the business (start-up capital, industry, etc.) and of the business founders (education, motivation, preparation, etc.). Our main results are: (1) The two programs attracted very different business founders (higher skilled for the BA, more female persons for the SUS), and different businesses were created (less capital intensive for the SUS). (2) We find that formerly unemployed founders are motivated by push and pull factors. (3) Survival rates 2.5 years after business founding are quite high (around 70%) and similar for both programs and across gender. (4) However, the newly developed businesses differ significantly in terms of direct employment effects. While around 30% of the founders with the BA already have at least one employee, this is true for roughly 12% of the founders with the SUS.     

Information Technology Competence and Value Creation in Supplier-Customer Relationships

Abstract

IT has been proven to have revolutionized business reality in its totality. As such, modern information technologies (IT) may also have an impact on business relationships. However, a detailed analysis of the impact of IT on relationships is still missing. This paper, therefore, provides a discussion of the interplay between IT and relationship variables, i.e., relationship functions, trust and relationship value. An analysis of over 100 German supplier-buyer relationships shows that the impact of IT is not as straightforward as all too often postulated. Moderate levels of IT competence are proven to be the worst-case scenario and as such the main managerial conclusion of this paper is to avoid half-hearted utilization of IT in business relationships.