The effect of default options on choice—Evidence from online product configurators

Many firms use product configurators to enable customers to specify their desired products online. In such systems, defaults are pre-specified for levels of product features by the manufacturer or dealer. For example, when configuring a racing bike online, a default is predefined (e.g., the Shimano Ultegra model) for all required features (e.g., the gearshift levers). Such defaults, which may even adapt to previous choices, ensure that a functional and fully defined product emerges at the end of the configuration process. However, when designing sales systems, companies often fail to realize that these defaults also affect customer decision-making. We demonstrate the effect by a study that makes use of a fully simulated racing bike configurator. We find the following results: Moving the default of one feature (e.g. wheels) from the lowest to the highest level results in an increase in sales. In addition, the feature level defined as the default also acts as a reference point by increasing the sales of levels near to it. In order to maximize sales, the default should be set at the level of a feature that is between the medium and the highest price level. To conclude we discuss how manufacturers and dealers subtly yet powerfully influence the decision-making process with their sales systems.     

Optimal monetary and fiscal policy in a currency union

We lay out a tractable model for the analysis of optimal monetary and fiscal policy in a currency union. The monetary authority sets a common interest rate for the union, whereas fiscal policy is implemented at the country level, through the choice of government spending. In the presence of country-specific shocks and nominal rigidities, the policy mix that is optimal from the viewpoint of the union as a whole requires that inflation be stabilized at the union level by the common central bank, whereas fiscal policy has a country-specific stabilization role, one beyond the efficient provision of public goods.     

Combining sell-out data with shopper behaviour data for category performance measurement: The role of category conversion power

Retailers need to manage a series of complex decisions relating to numerous products. To reduce this complexity, they have introduced category management practices, which consider groups of similar products (categories) that can be managed separately as single business units (SBUs). Although the concept that the store offer should be organised as a category mix and that this strategy allows for better overall store management is already consolidated, retailers still struggle to adopt an approach to the store performance measurement starting from a category level perspective. Nowadays, the available methods for measuring categories’ performance are quite limited. The current trend sees the measurement of category performance mainly based on sell-out data that are ill-equipped to fully address category management issues. Retailers should broaden their field of analysis not only by focusing on the product/sales perspective but also by including other methodologies such as shopper behaviour analysis. In this regard, the use of technology offers the retail sector new perspectives for those analysis. Therefore, we intend to contribute to the ongoing debate on the retail analytics topic by presenting a shopper behaviour analytics system for category management performance monitoring. More in detail, we could derive a new key performance indicator, category conversion power (CCP), aimed at analysing and comparing the single categories organised within the store. The research is based on a unique dataset obtained from a real-time locating system (RTLS), which allowed us to collect behavioural data togheter with sell-out data (from POS scanner). We argue that retailers could exploit this new analytical method to gain more understanding at the category level and therefore make data-driven decisions aimed at improving performance at the store level.     

Corporate governance and MNE strategies in emerging economies

We explore factors of convergence and divergence in corporate governance of emerging and developed market economies, focussing on the role of firm internationalisation. In particular, foreign investments by emerging economy firms led to upgrade of their governance capabilities. These firms also became advocates for home-country policy reforms that mandated the development of similar capabilities for local firms. We present a broad overview of the literature and propose an approach that considers the evolution of corporate governance, both at the national level and the firm level, with MNEs from both emerging market economies and developed economies as active actors in this process.     

EMULATION,PREVENTION AND SOCIAL INTERACTION IN CONSUMPTION DYNAMICS

In this paper we show that the role of diversity, local interactions and global endogenous change at the level of social standards might be crucial in understanding the evolution of consumption patterns in modern economies. We propose an evolutionary model from which consumption dynamics can be analyzed as global properties emerging from the endogenous transformation of a society inhabited by boundedly rational interactive consumers. This work aspires to take a modest step forward in the direction of an evolutionary theory of demand change.     

A Multilevel Perspective of Tensions Between Knowledge Management and Social Media

In this article, we discuss the tensions that are perceived in organizations as the use of social media platforms such as Facebook and Twitter challenge past approaches to knowledge management initiatives in organizations. We address these perceived tensions using a three-level conceptual framework: the macro- (organizational) level, the meso- (group) level, and the micro- (individual) level. In our discussion, we posit that perceived tensions arise when managers seek to maintain their traditional roles at the macro- (organization) level, yet social media affordances enable these roles to be performed at the micro- (individual level) and mesolevels. Shifts in the extent of the meso-level connections beyond the immediate organizational boundaries enable a wider community of practice than before. As a consequence, traditional management roles may give way to more flexible roles, with greater individual responsibilities for control and more sense-making and knowledge access taking place at the mesolevel. Our contribution is three-fold. In our article, we examine four key organizational factors (roles, ownership, control, and value) using a three-level conceptual model; associate the perceived tensions that arise in organizations with implicit shifts in these variables that accompany the use of social media; and suggest that shifts in emphasis in roles and control at each level can be instrumental in resolving perceived tensions as knowledge management efforts encompass social media.     

EXPRESSING INVENTORY CONTROL POLICY IN THE TURNOVER CURVE

Estimation of the inventory level for an entire class of items is a valuable time saver when control of inventories at the aggregate level, rather than the item level, is of interest. Inventory approximation by location in supply chain network configuration and evaluation of inventory control policy shifts, are two examples of application. In this article, various popular inventory policies are related to a general function known as an inventory turnover curve that expresses inventory levels from the combined demand of multiple items. By knowing some basic item characteristics of representative items in a product class, the type of inventory policy being used, and the current aggregate inventory level, an inventory turnover curve can be constructed. This resulting turnover curve can be used to estimate inventory levels within 4.6%, on the average, of theoretically predicted ones.     

Towards hierarchical linking of marketing resource allocation to market areas and product groups

In this paper a marketing resource allocation model is developed that is intended as a decision support tool for management at a country level in a multinational multiproduct firm. At the same time overall company objectives and portfolio considerations are taken into account by imposing a set of constraints on the countries. Output of the models from the different countries can help corporate management in allocating resources to countries and in evaluating the short term opportunity cost of its strategic constraints. As such, the model is seen as a first step in working towards hierarchically linked allocation models.     

Engaging employers in workplace training – lessons from the English Train to Gain programme

Despite the ambition of an employer‐led vocational education and training system, a lack of employer engagement in workplace training continues to be reported in England. There seems to be a mismatch between national policy level expectations of how employers should be engaging in workplace training and the practicalities of employer engagement at the local level. This paper presents findings from insider research on employer engagement in Train to Gain, the recent UK government flagship workplace training programme. The study draws on interviews with training providers and government contract managers in one local area to examine the impact of programme structures and funding arrangements on employer engagement and to identify lessons to be learnt. In their interview accounts, training providers identified rigidity and instability in government funding and management system structures as having constrained employer engagement in Train to Gain at the local level. The findings have implications for workplace training policy by suggesting that programmes with stable funding and local flexibility enable more effective employer engagement.     

What Drives Financial Innovations in Kenya’s Commercial Banks? An Empirical Study on Firm and Macro-Level Drivers of Branchless Banking

ABSTRACT

This paper examines the firm- and macro-level drivers of financial innovations in Kenya’s commercial banks. We focus on branchless banking innovations, namely: mobile banking, agency banking, internet banking and automated teller machines. These financial innovations represent a departure from traditional branch based banking. We conduct an empirical analysis of the four financial innovations using Koyck distributed lag models, estimated using dynamic panel estimation with System Generalized Method of Moments. We use 10-year panel data from 42 out of 43 commercial banks in Kenya covering the years 2004–2013. We provide empirical evidence that at the firm level, branchless banking is driven by firm size, transaction cost, agency costs, technological developments at the firm level and firm constraints. In addition, at the macro level, regulation, technological developments at the macro level, incompleteness in financial markets and globalization are important drivers of branchless banking.     

Posted price and name-your-own-price in a product line design problem

In this research, we address Name your own price (NYOP) as a mechanism to offer products with transparent, rather than opaque, quality levels. We compare posted price (PP) and NYOP in a product line design problem from a firm’s viewpoint. We first consider the firm offering two vertically differentiated products that each can be priced by NYOP or PP. The quality level of products is considered either as a decision variable or as a fixed predetermined value for the firm. A customer correspondingly decides which product to purchase and if applicable, the bid at NYOP. We characterize both the customer’s and the firm’s decisions under four possible pricing scenarios. The results show that, it is most profitable for the firm to use PP for both products. We then consider if each product is offered by a competitive firm, where quality levels might again be decision variables or fixed. Results show that both competitive firms prefer PP to NYOP when they can create quality differentiation. The firm that offers the product with a lower quality level prefers PP to NYOP for all combinations of fixed quality levels as well. The other firm, with a higher quality level, also usually prefers PP to NYOP; However, it can be better off using NYOP when fixed quality levels are large and close enough to each other. In this case, the preference of NYOP over PP increases as customers’ willingness to pay enhances.     

Antecedents and Consequences of Cronyism in Organizations

In this paper we discuss cronyism that exists between superiors and subordinates. Cronyism is defined as favoritism shown by the superior to his or her subordinate based on their relationship, rather than the latter's capability or qualification, in exchange for the latter's personal loyalty. We argue that two cultural antecedents, namely particularism and paternalism, give rise to strong ingroup bias and unreserved personal loyalty, which in turn lead to cronyism. We examine the consequences of cronyism at the individual level with respect to job satisfaction, organizational commitment, and ingratiation. We also discuss how cronyism affects performance, morale, and inertia at the organizational level. Cronyism can be observed in all cultures; however, its manifestation is likely to vary from one culture to another.     

On Adaptive Emergence of Trust Behavior in the Game of Stag Hunt

We study the emergence of trust behavior at both the individual and the population levels. At the individual level, in contrast to prior research that views trust as fixed traits, we model the emergence of trust or cooperation as a result of trial and error learning by a computer algorithm borrowed from the field of artificial intelligence (Watkins 1989). We show that trust can indeed arise as a result of trial and error learning. Emergence of trust at the population level is modeled by a grid-world consisting of cells of individual agents, a technique known as spatialization in evolutionary game theory. We show that, under a wide range of assumptions, trusting individuals tend to take over the population and trust becomes a systematic property. At both individual and population levels, therefore, we argue that trust behaviors will often emerge as a result of learning.     

Health insurance and job creation by the self-employed

Health insurance is regulated at the state level by the use of state-mandated health benefits. These are regulations issued by the state that mandate minimum levels of certain benefits as part of policies offered, e.g., drug abuse and alcohol treatment services, treatment for mental illnesses, etc. In this paper, we evaluate the impact of state health insurance mandates on job creation by small firms using data from the Survey of Income and Program Participation (SIPP) dataset for the period 1993–1995. Results from an ordered probit regression indicate that, the larger the number of mandates in a state, the lower the probability that a self-employed person will be a significant employment generator. These results hold when we consider both the sum of mandates as well as a cost-weighted measure of the most expensive mandates.     

我国高外贸依存度原因探析及对策研究

我国外贸依存度近些年呈现快速上升趋势,与世界主要国家相比也处于较高水平。分析造成我国外贸依存度过高的原因,主要是由于加工贸易、GDP结构差异、汇率等不合理因素的影响。长期来看,外贸依存度的提高是必然趋势,这意味着我国受世界经济冲击的风险在不断加大。保持合理的外贸依存度我国应实行内需主导型经济发展战略;调整产业结构,重视加工贸易的转型升级;实施外贸多元化战略,缓解贸易摩擦;大力发展服务贸易。     

Decent Work: The Moral Status of Labor in Human Resource Management

Historically, whistleblowing research has predominantly focused on psychological and organisational conditions of raising concerns about alleged wrongdoing. Today, however, policy makers increasingly start to look at institutional frameworks for protecting whistleblowers and responding to their concerns. This article focuses on the latter by exploring the roles that trade unions might adopt in order to improve responsiveness in the whistleblowing process. Research has consistently demonstrated that the two main reasons that deter people from reporting perceived wrongdoing are fear of retaliation and a belief that the wrongdoing is unlikely to be rectified. In this article, we argue that trade unions have an important part to play in dealing with both these inhibiting factors but this requires them to be appropriately engaged in the whistleblowing process and willing to take a more proactive approach to negotiations. We use Vandekerckhove’s 3-tiered whistleblowing model and Kaine’s model of union voice level to structure our speculative analysis of the various ways in which trade unions can interact with whistleblowers and organisations they raise concerns about alleged wrongdoing in, as well as agents at a regulatory level. Our articulation of specific roles trade unions can play in the whistleblowing process uses examples from the UK as to how these trade union roles are currently linked to and embedded in employment law and whistleblowing regulation.     

Trickle Effects of Cross-Sector Social Partnerships

Cross-sector social partnerships are often studied from a macro and meso perspective, also in an attempt to assess effectiveness and societal impact. This article pays specific attention to the micro perspective, i.e. individual interactions between and within organizations related to partnerships that address the ‘social good’. By focusing on the potential effects and mechanisms at the level of individuals and the organization(s) with which they interact, it aims to help fill a gap in research on partnerships, including more insight into the process of interaction. We conceptually explore micro level interactions, and how partnership effects may ‘trickle down’ (e.g. from management to employees), or ‘trickle up’ (from employees to management) or ‘trickle round’ (e.g. between employees). Based on the literature from various disciplines, we discuss how more generic theories on social exchange and contagion, social learning and attraction-selection-attrition can help shed light on micro level interactions in a partnership, considering in particular transmission mechanisms via employees, top and middle management, and customers. In this way, partnerships can have wider benefits, as individuals have multiple roles and effects at the micro level can spread to the meso and macro levels as well. Implications for research and practice are outlined.     

Ethno-national ties and international business opportunity exploitation: The role of environmental factors

This paper examines the effect of ethnic populations on international opportunity exploitation at a societal, or national, level. Past research shows a relationship between ethnic ties and international opportunity at an individual level; however, little is known about the role of ethnic ties and international opportunity at a national level, which is called ‘ethno-national ties’ in this study. In order to acquire in-depth knowledge of this subject, we studied a population of Chinese who are living outside their home country and applied contingency theory principles to investigate environmental boundary conditions that affect this population. Data collected from Chinese exporters indicate an overall positive effect of ethno-national ties on international opportunity exploitation—an effect that is influenced by three moderating variables: technological turbulence, psychic distance, and export barriers. Technological turbulence and export barriers weaken the effect of ethno-national ties on international opportunity exploitation while psychic distance enhances the effect.     

Ontology-based approach for identifying the credibility domain in social Big Data

ABSTRACT

The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academics and industry. To address this challenge, semantic analysis of textual data is focused on in this paper. We propose an ontology-based approach to extract semantics of textual data and define the domain of data. In other words, we semantically analyze the social data at two levels: the entity level and the domain level. We have chosen Twitter as a social channel for the purpose of concept proof. Ontologies are used to capture domain knowledge and to enrich the semantics of tweets, by providing specific conceptual representation of entities that appear in the tweets. Case studies are used to demonstrate this approach. We experiment and evaluate our proposed approach with a public dataset collected from Twitter and from the politics domain. The ontology-based approach leverages entity extraction and concept mappings in terms of quantity and accuracy of concept identification.     

Industrial clusters,entrepreneurial culture and the social environment: The effects on FDI distribution

Using balance sheet data from a sample of 3498 foreign firms in the manufacturing industry we analyse the distribution of foreign direct investments (FDI) in Italy at a very detailed geographical level, i.e. the provincial level, a region which comprises an urban area and the limited geographical area surrounding it. In this paper, we test the impact that agglomeration economies, entrepreneurial culture and social capital have on the distribution of foreign investments. While the findings regarding the social variables are mixed, the important role played by agglomeration economies is confirmed. Our analysis shows that investments by multinationals are attracted by those areas that combine industrial cluster characteristics with an agglomeration of foreign firms and that have a high level of entrepreneurial culture. The role that this last variable plays is fundamental and suggests the idea that multinational corporations (MNCs) invest in regions with entrepreneurial resources.