Exploring a Measurement of Analytics Capabilities

Changes in the volume and velocity of data have led many organizations to consider assessing and improving analytics capabilities. The purpose of this research is to describe a methodology developed to assess organizations’ analytics capabilities and explore the empirical value of data collected using this methodology. The measurement for analytics capabilities was developed by IBM during 2009–11 marketing efforts. To assess the data’s empirical value, we investigate whether measurements of analytics capabilities are internally consistent, associated with decisions to invest in analytics software and hardware, and able to explain firm profitability. In analyzing consistency, we find a natural sequence in the development of analytics capabilities. Exploring decisions to invest in analytics, we discover that firms with higher levels of capabilities are more likely to invest, as are firms that are larger and located in more profitable industries. However, we find no relationship between analytics capabilities and firm profitability.     

Data Science,Predictive Analytics,and Big Data in Supply Chain Management: Current State and Future Potential

While data science, predictive analytics, and big data have been frequently used buzzwords, rigorous academic investigations into these areas are just emerging. In this forward thinking article, we discuss the results of a recent large‐scale survey on these topics among supply chain management (SCM) professionals, complemented with our experiences in developing, implementing, and administering one of the first master's degree programs in predictive analytics. As such, we effectively provide an assessment of the current state of the field via a large‐scale survey, and offer insight into its future potential via the discussion of how a research university is training next‐generation data scientists. Specifically, we report on the current use of predictive analytics in SCM and the underlying motivations, as well as perceived benefits and barriers. In addition, we highlight skills desired for successful data scientists, and provide illustrations of how predictive analytics can be implemented in the curriculum. Relying on one of the largest data sets of predictive analytics users in SCM collected to date and our experiences with one of the first master's degree programs in predictive analytics, it is our intent to provide a timely assessment of the field, illustrate its future potential, and motivate additional research and pedagogical advancements in this domain.     

Click Here for a Data Scientist: Big Data,Predictive Analytics,and Theory Development in the Era of a Maker Movement Supply Chain

Predictive analytics is impacting many diverse areas, ranging from baseball and epidemiology to forecasting and customer relationship management. Manufacturers, retailers, software companies, and consultants are creatively discovering new applications of big data using predictive analytics in supply chain management and logistics. In practice, predictive analytics is generally atheoretical; however, we develop a 2 × 2 model to explain the role of predictive analytics in the theory development process. This 2 × 2 model shows that in our discipline we have traditionally taken one path to theory development, but that predictive analytics can be a salient component of a comprehensive theory development process. The model points to a number of research questions that need to be addressed by our research community. These questions are not just highly relevant to the academic community but also in urgent need of answers to help practitioners execute the right strategies with greater precision and efficiency. We also discuss how one disruptive trend, the maker movement, changes the nature of who the producers are in the supply chain, making big data even more valuable. As we engage in higher levels of dialogue we will be able to make meaningful progress addressing these vital research topics.     

Maximizing the Potential of Contemporary Workplace Monitoring: Techno‐Cultural Developments,Transactive Memory,and Management Planning

Nonintrusive data collection and analysis technologies are increasingly being used to monitor worker behavior in the global workplace. This essay explores the factors that can affect the extent to which management, work teams, and even individuals can benefit from real‐time data monitoring of worker productivity, coordination, and performance. Leveraging organizational information processing and transactive memory systems theories, I develop a theoretical framework for how access to real‐time data can impact team coordination activities and how the implementation of work monitoring technology and analytics might be best approached. Last, I present a set of future research opportunities that supply chain scholars should pursue to examine how the real‐time monitoring of work affects team performance.     

Does the Use of Mobile Phones by Smallholder Maize Farmers Affect Productivity in Ghana?

ABSTRACT

This study evaluates the effects of mobile technology on productivity and the channels of transmission of these effects. Using propensity score matching procedures, the results show that mobile phone ownership and use significantly improves agricultural productivity. Specifically, the mobile phone improves the productivity of user-farmers by at least 261.20 kg/ha per production season. Further, we find that phone ownership and use impacts productivity more than phone use only. The identified channels of effect are extension services, adoption of modern technology and market participation. These results have key policy implications for Ghana and developing economies at large.     

Do Retailers Benefit from Deploying Customer Analytics?

Prior research has documented a general positive relationship between the deployment of customer analytics and firm performance. In this research we focus on the retailing industry, an industry characterized by tight margins that lead to careful scrutiny of all business investments. Using survey data from 418 top managers based in the Americas, Europe Middle East and Africa (EMEA) and Asia, we show that of the eight industries in the study, firms in the retail industry have the most to gain from deploying customer analytics. However, we also find that not only do many retailers not perceive this potential gain, they do not invest in customer analytics at an economically appropriate level. Thus we identify a gap between perception and reality concerning the potential for customer analytics in the retail industry that has both theoretical and practical implications.     

Trade Liberalisation,Exit, and Output and Employment Adjustments of Australian Manufacturing Establishments

This paper investigates three potential sources of Australia’s manufacturing productivity gains from trade liberalisation in the mid‐1990s: the exit of inefficient establishments, economies of scale, and the reduction in x‐inefficiency via employment reduction. We use manufacturing establishment level data and exploit the intersectoral variation in the effective rates of assistance (ERA) to see how businesses adjusted to trade liberalisation during the period. We find the documented productivity gains to be mostly accounted for by the reduction in x‐inefficiency through employment shedding in industries experiencing a high degree of trade liberalisation. We find little evidence that the exit of inefficient establishments in highly liberalised industries contributes to productivity gains. In fact, we find that the more productive establishments are more likely to exit, perhaps reflecting product switching by these businesses to make more profitable use of inputs. Similarly, there does not appear to be a strong relationship between the extent of trade liberalisation and output adjustments. However, we do find indicative evidence of an overall productivity‐enhancing effect through economies of scale. These findings suggest that, at least for the case of Australia, the ease of making employment adjustments can be crucial for policies such as trade liberalisation to have the desired effect. In addition, trade liberalisation may provide incentives for domestic producers to seek more profitable use of their inputs and to move further downward along their cost curves. We think further studies assessing the productivity gains from product switching and economies of scale effects in both liberalised and non‐liberalised industries and focusing on the interplay between labour market policy and firm adjustments would be valuable.     

Moral Reasoning in Computer-Based Task Environments: Exploring the Interplay between Cognitive and Technological Factors on Individuals’ Propensity to Break Rules

This study examines the relationship between cognitive moral development (CMD), productivity features of information technology (IT) and unethical behavior or misconduct. Using an experimental design that randomly assigns subjects to one of four unique technology conditions, we assess the relationship between a subjects?? predominant level of CMD and ethical misconduct on IT-oriented work tasks. Our results show that both higher levels of CMD and increased levels of IT productivity features at one??s disposal have a significant role to play in explaining observed behavior in our sample. We find that CMD as measured by the Defining Issues Test??s P-score is negatively related to task misconduct. Conversely, IT productivity features such as copy-and-paste are positively related to task misconduct. In addition, the CMD??misconduct relationship is significantly diminished by the introduction of IT productivity features. Lastly, a series of hazard analyses are conducted to explore the boundaries of our principal findings. These results demonstrate the significant role of technology in enabling negative behavior and the relative inability of subjects?? use of principled moral reasoning to overcome it. Implications of these findings for academics and business managers are offered, as well as recommendations for mitigating misconduct in both academic and workplace environments.     

Prohibitive Voice as a Moral Act: The Role of Moral Identity,Leaders, and Workgroups

Employees’ may view prohibitive voice—that is, expressing concerns about harmful practices in the workplace—as a moral yet interpersonally risky behavior. We, thus, predict that prohibitive voice is likely to be influenced by variables associated with moral and relational qualities. Specifically, we hypothesize that employees’ moral identity internalization—i.e., the centrality of moral traits in their self-concept—is positively associated with their use of prohibitive voice. Furthermore, we hypothesize that this association is stronger when employees enjoy a higher quality relationship with their leader (leader-member exchange). In addition, drawing on the literature on moral symbolism, we hypothesize that workgroup moral identity symbolization—i.e., the extent to which workgroup members symbolically display moral traits—moderates the relationship between moral identity internalization and prohibitive voice in a compensatory manner. That is, workgroup moral identity symbolization enhances employees’ use of prohibitive voice when employees’ moral identity internalization is low. Data collected from hospital employees and their supervisors and coworkers support these hypotheses. These findings suggest new ways to promote prohibitive voice and, thereby, protect organizational stakeholders from harmful behaviors.

     

Comparing consumer-produced product reviews across multiple websites with sentiment classification

ABSTRACT

Online consumer reviews have been extensively studied. However, existing literature analyzing online consumer review data mostly relies on a single data source, resulting in potentially biased analytics conclusions. Many websites encourage consumers to post reviews of their purchased products, so that new consumers can evaluate these reviews for the same product across different websites to help them make purchasing decisions. Confusions often arise in this process, because there often exist substantial discrepancies in customer reviews across different retailers on the same product. Clarifying such confusions can help consumers reduce concerns to make up their mind for their purchases, therefore benefiting both consumers and retailers. Through text analytics and sentiment analysis, we comparatively examine the underlying patterns of online consumer reviews of three large retailers including Sears, Home Depot, and Best Buy for a same product. Afterward, we combine online consumer reviews from these large retailers and conduct an overall text analytics and sentiment analysis. The overall results are further compared with the results from individual retailers. The findings show that the sentiment of the online consumer reviews could vary substantially so relying on a single data source to make purchase decision is not a wise idea. Based on the results, we further devise a framework to comparatively examine and integrate multiple data sources for social media analytics of online consumer reviews. This study offers important managerial implications and identifies several new research directions for social media analytics.     

Using workplace population statistics to understand retail store performance

We explore the value of recently released workplace geographies and accompanying census-based workplace zone statistics (WZS) and an associated classification of workplace zones (COWZ). We consider how these data could support retailers in their operational and strategic decision-making, including the evaluation of retail demand and retail store performance in localities where trade is driven by non-residential demand. In collaboration with major UK grocery retailer The Co-operative Group we explore the relationship between workplace population composition and store trading characteristics using a series of case study stores within Inner London. We use empirical store trading data to identify store and product category level temporal sales fluctuations attributable to workplace populations. We also use census-derived flow data to identify the spatial origins of workplace population inflow. We identify that store performance exhibits characteristics attributable to demand driven by these populations. We conclude that workplace population geographies, WZS and the COWZ afford considerable potential for understanding drivers of store performance, observed store trading patterns and evaluation of retail store performance. We suggest that the next step is to build these populations and their micro geography spatial and temporal characteristics into predictive models and evaluate their potential for store performance evaluation and location-based store and network decision-making within this sector.     

Business Reputation and Labor Efficiency,Productivity, and Cost

Assumed benefits from improved reputation are often used as motives to drive corporate social responsibility (CSR) initiatives. Are improved cost efficiencies among these reputation benefits? Cost efficiencies and cost management have become more relevant as revenue streams dry up in these tough economic times. Can a good reputation aid these efforts to develop cost efficiencies specifically when managing labor costs? Prior research hypothesizes that good reputation can create labor productivity and efficiency benefits. The purpose of this study is to empirically investigate reputation’s relationship with labor efficiency, labor productivity, and labor cost. Using a sample of highly reputable firms from Fortune’s America’s Most Admired Companies list and a corresponding matched sample of firms, we find that reputation is associated with improved labor efficiency and labor productivity. However, we do not find a significant association between reputation and reduced labor costs. Our study contributes to current research hypothesizing and finding efficiency benefits associated with good reputation. Documenting these potential reputation benefits has important implications for CSR activities and initiatives. It supports recent work that incorporates reputation into a more developed model of the relationship between CSR and performance (Vilanova et al.: 2009, Journal of Business Ethics 87, 57–69). This work is useful to businesses and supports strategies focused on “doing well by doing good” and maintaining healthy reputations.     

Patent Examination Quality and Litigation: Is There a Link?

Abstract

In this study, we use carefully constructed matched samples of litigated and non-litigated patents to investigate the characteristics that predict litigation. We define different control groups based on filing characteristics and value correlates (or both), and test the extent to which examination characteristics predict litigation. This paper is the first to use detailed examination characteristics to understand the resulting patent rights. By controlling (at least in part) for patent value, the estimation strategy has implications for the degree to which patent examination characteristics are correlated with uncertainty. We find that some examination characteristics predict litigation, but that the bulk of the predictive power in the model comes from filing characteristics.     

Investment in Transition Economies

Summary

All centrally planned economies suffered from overinvestment. Due to low capital productivity, reasonable growth rates in output could be maintained only with high investment/GDP ratios. Nevertheless, the sharp reduction in investment during transformational recession and its slow growth during subsequent recovery are viewed as negative phenomena, since transition economies offer numerous opportunities to increase output with relatively small targeted investment.

This paper seeks to develop and test two major hypotheses. The first one explains the behavior of aggregate investment during transition: we find that changes in external financing (current account balance), in the government budget deficit and in the institutional capacity of the state (as measured by the share of government revenues in GDP) explain up to 75% of the variations in investment/GDP ratios during transition, while the progress in reforms (cumulative liberalisation index) and in privatisation (share of the private sector in GDP) do not matter a great deal. With respect to sources of investment financing, there is some evidence that better investment performance is supported by budgetary funds, by credits to the private sector and by the strength of the stock market, whereas foreign aid is a substitute rather than a complement (i.e., it is negatively related to investment) and the inflow of foreign direct investment is not important.

The second hypothesis deals with the impact of investment on economic performance as measured by changes in GDP during transition: we find that differences in performance arc, in great part, associated not with investment patterns, but with varying marginal capital productivity. The latter in turn is determined mainly by differing magnitudes of restructuring required in various countries, i.e., by the distortions in industrial structure and trade patterns inherited from central planning, and by the institutional capacity of the state (as measured by the share of shadow economy and government revenues in GDP). The degree of liberalisation in this case appears to be a relatively important determinant of capital productivity, while the rates of inflation are not.     

Combining Information Technology and Decentralized Workplace Organization: SMEs versus Larger Firms

This paper examines whether information technology (IT) and decentralized and incentive-based workplace organization are complementary only for large firms or also for smaller firms. Previous empirical evidence suggesting complementarity between IT and decentralization is mainly based on large firms. Using data from a sample of 3,288 small and medium-sized enterprises (SMEs) and 595 larger firms from the manufacturing and service sector in Germany, it appears that SMEs with decentralized and incentive-based work practices tend to use IT more intensively. Moreover, for the sample of SMEs, IT and workplace organization are individually associated with higher productivity, but the combination of IT and decentralization does not yield a productivity premium. In contrast, the productivity of IT depends positively on decentralization for large firms. The findings suggest that combining IT and decentralized workplace organization seems only to be a successful strategy for larger firms.     

The Global Productivity Slowdown: Diagnosis,Causes and Remedies

This paper addresses the long-term slowdown in labour productivity for a panel of 25 countries. First, we look at productivity shifts and trends based on structural break tests and modern filtering techniques. The productivity slowdown is evident in almost all countries we investigate. Second, we deepen the analysis by decomposing labour productivity growth. Third, we use dynamic models to test for Granger causality in the trends and find that there is strong evidence that a slow GDP growth trend causes the subsequent productivity trend. We conclude that the productivity slowdown is a global phenomenon and should therefore be tackled at the international level.     

Help! Lonely at work: Managerial interventions to combat employee loneliness

Loneliness is a rampant and modern epidemic that affects the majority of employed adults and shows no signs of subsiding. Loneliness not only contributes to numerous health problems—including anxiety, depression, heart failure, and suicide—but can also cause greater employee stress, cynicism, distrust, and decreased job performance, as well as higher turnover and absenteeism. Loneliness-prompted absenteeism singlehandedly costs employers billions of dollars a year in lost productivity. Consequently, understanding and managing workplace loneliness is of paramount importance for leaders. A review of the causes and outcomes associated with workplace loneliness is provided in this article, as well as three evidence-based interventions that can help reduce workplace loneliness: (1) fostering opportunities for relationship building, (2) increasing support around evolving work contexts, and (3) fortifying a people-focused organizational culture. By presenting research-based guidance, we help leaders combat on-the-job loneliness faced by employees, as well as managers; generate healthier work environments; and cultivate improved individual, team, and organizational performance.     

Are ICT,Workplace Organization,and Human Capital Relevant for Innovation? A Comparative Swiss/Greek Study

This paper investigates and compares the relationships for Swiss and Greek firms between indicators for the intensity of use of modern information and communications technologies (ICT), several forms of workplace organization, and human capital, on the one hand, and several measures of innovation performance at firm level, on the other hand. For the Swiss firms, we find that ICT contribute to innovation activities (a) as enablers of process innovation (but not of product innovation) and (b) as means for increasing the efficiency of the R&D process. The organizational variables for “work design” and “employee voice” show significant positive correlations for most innovation indicators. Human capital matters primarily for R&D activities. The findings for the Greek firms indicate positive correlations of ICT with product and process innovation and of new “work design” with product innovation and R&D. No correlation of human capital with innovation could be found. No complementarities for the three factors with respect to innovation performance could be detected in either country.     

Managers' mobility,trade performance,and wages

Knowledge is key to the competitiveness and success of an organization and in particular of a firm. Firms and their managers acquire knowledge via a variety of different channels which are often difficult to track down and quantify. By matching employer–employee data with trade data at the firm level we show that the export experience acquired by managers in previous firms leads their current firm toward higher export performance, and commands a sizeable wage premium for the manager. Moreover, export knowledge is decisive when it is market-specific: managers with experience related to markets served by their current firm receive an even higher wage premium; firms are more likely to enter markets where their managers have experience; exporters are more likely to stay in those markets, and their sales are on average higher. Our findings are robust to controlling for unobserved heterogeneity and, more broadly, endogeneity and indicate that managers' export experience is a first-order feature in the data with an impact on a firm's export performance that is, for example, at least as strong as that of firm productivity.