Composing the same song: when and how high-performance work systems can stimulate proactive behavior

PurposeDrawing on signaling theory, the purpose of this study is to explore how high-performance work systems (HPWS) interact with leader–member exchange (LMX) to predict employees' proactive behavior and job engagement. Moreover, the present study also proposes the mediating role of job engagement in the interactive effects of HPWS and LMX quality on proactive behavior.Design/methodology/approachThe data of this study include 228 customer-contact employees and 44 store managers from chain store enterprises in the service sector in Taiwan. The proposed models were tested with hierarchical linear modeling and Monte Carlo simulation.FindingsThe results show a significant interactive effect of HPWS and LMX on job engagement and proactive behavior. In addition, job engagement serves as a vital mechanism linking the interactive effect of HPWS and LMX quality on proactive behavior.Originality/valueThis study uses signaling theory to unpack the question when and how HPWS can be more influential on employees' proactive behavior. In particular, the positive effect of HPWS on proactive behavior is more prominent only when employees enjoy high LMX quality with their respective line managers. In addition, the interactive effects of HPWS and LMX quality on proactive behavior are mediated by job engagement. The findings provide valuable theoretical and managerial contribution by integrating HRM and leadership research.

The Effects of Sister-Store Presence and Market Competition on Product Assortment: Evidence from Book Retailing

When consumers’ preferred products are not carried by the retail chain store they visit, they may switch to purchasing these products from nearby sister stores of the same chain or from nearby competing stores. Such within- and across-chain substitution effects are enhanced as store-level product assortment information becomes increasingly available to consumers. It is important for scholars and practitioners to understand the effect of sister-store presence and market competition on retail product assortment strategies. In this paper, we obtain store-level product assortment data from a nationwide bookstore chain and study how sister-store presence and market competition can have an impact on the retail chain’s product assortment. In addition, we explore how this impact differs for niche and popular products. Our results show that having at least one sister store nearby reduces product assortment and such effects are stronger for niche products although having a competing store nearby increases product assortment and such effects are stronger for popular products.

Data-driven performance management of business units using process mining and DEA: case study of an Iranian chain store

PurposeThe underlying purpose of this paper is to propose a comprehensive framework evaluating the performance of business units of an organization with a process perspective, identifying the most influential performance indicators, enabling managers to make more informed decisions based on data recording every day in their operational information systems.Design/methodology/approachFor proposing the conceptual framework of performance evaluation a synchronized analysis of selected process' data, obtained from an integrated information system of an Iranian chain store, was performed.FindingsThe superiority of the proposed framework results is demonstrated in comparison to applying the process mining solely; principal component analysis was identified as an efficient link between process mining and data envelopment analysis. Also, based on the final data analytics, the units' throughput times and the variety of brands and suppliers had the most impact on their performances.Research limitations/implicationsThe data of abundant business units and performance indicators, which would have allowed adding data prediction and other data analytics techniques for more insight, was not able to be accessed.Practical implicationsOrganizations' managers can use the framework to evaluate their business units' current status and then prioritize their resources based on the most influential performance indicators for overall improvement.Originality/valueThe study contributes to the research on performance management and process mining by presenting a comprehensive framework with two levels of data analytics. It stresses discovering what is happening in business units, and how to prioritize their improvement opportunities learning the significant correlations between performance indicators and units' performance.

The Spontaneous Pricing Order in the Noncooperative Game of Monopolistic Manufacturer and Many Retailers

We consider the collective pricing orders in a minimum supply chain that is composed of a monopolistic manufacturer and many retailers that belong to the same chain store firm. The retailers have the freedom to raise or lower the local price. The chain store firm sets up the commercial rules for local retail stores to maximize its total payoff. The monopolistic manufacturer firm controls the total quantity supplied for the market to achieve maximum benefits. We applied the two dimensional Ising model in statistical physics to map the collective distribution of microscopic strategy of local retailers into the macroscopic total payoff of the chain store firm. The local stores choose to raise the price or lower the price based their own mind when the supply in market surpasses the demand. When the supply in market is far less than the demand, the stores synchronously raise prices, even though a local store only have the incomplete information of their nearest neighboring supermarket. We find the critical equation for the balance point between the action of supplier and the action of chain store management based on game theory and statistical physics. The critical equation can identify the Nash equilibrium point of the non-cooperative game between the manufacturer and the chain-store seller, and reveal different levels of collective operations. This statistical physics method also holds for more complicate supply chains and economic systems.

E-Commerce in the Retail Chain Store Market: An Alternative or a Main Trend?

The purpose of this research is to assess the impact of important aspects leading to the further development of e-trade in the retail market and to identify the rationale behind consumer preferences. The degree of total service (adequacy of staff, reception) and the overall satisfaction regarding the facilities (organization and hygiene level of the supermarket) are the main factors influencing consumers’ decisions for their purchases. Other important components are the degree of coverage of needs in quality products, the intention to use an online store, the interest of consumers in finding quality and safe food, having at the same time information about their prices and possible offers. A quite important criterion is the degree of physical accessibility to the store. The main norm about using e-trade platforms instead of physical presence in supermarkets is quite low. It is tested though if there are significantly different approaches among customers of different firms, with no surprising results to be obtained. Customers familiarized with e-shopping, to a greater extent, are highly educated but quite sensitive to price issues as well. Τhe findings of this survey reflect the consumers’ decision-making process to familiarize and use electronic platforms, instead of visiting physical stores for shopping, based on a group of motives and anti-motives relative to this alternative.

Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation

Store site recommendation aims to predict the value of the store at candidate locations and then recommend the optimal location to the company for placing a new brick-and-mortar store. Most existing studies focus on learning machine learning or deep learning models based on large-scale training data of existing chain stores in the same city. However, the expansion of chain enterprises in new cities suffers from data scarcity issues, and these models do not work in the new city where no chain store has been placed (i.e., cold-start problem). In this article, we propose a unified approach for cold-start store site recommendation, Weighted Adversarial Network with Transferability weighting scheme (WANT), to transfer knowledge learned from a data-rich source city to a target city with no labeled data. In particular, to promote positive transfer, we develop a discriminator to diminish distribution discrepancy between source city and target city with different data distributions, which plays the minimax game with the feature extractor to learn transferable representations across cities by adversarial learning. In addition, to further reduce the risk of negative transfer, we design a transferability weighting scheme to quantify the transferability of examples in source city and reweight the contribution of relevant source examples to transfer useful knowledge. We validate WANT using a real-world dataset, and experimental results demonstrate the effectiveness of our proposed model over several state-of-the-art baseline models.

“I’ve Got the Chain Store Blues”

This chapter discusses Allen Brothers, “I’ve Got the Chain Store Blues”, topical songs, white blues, W.K Henderson, and KWKH Shreveport

Does Restricting the Entry of Formula Businesses Help Mom-and-Pop Stores? The Case of Small American Towns With Unique Community Character

Communities worldwide are increasingly introducing regulatory measures to protect independent businesses from chain stores, but the efficacy of these attempts is largely debated. Moreover, effects are likely to vary by the characteristics of the local economy, a consideration overlooked by existing studies. Using a sample of U.S. cities with unique community characteristics, the authors examine Formula Business Restrictions (FBR), a type of an American land use regulation that restricts the entry of “formula businesses.” The authors find that the passage of FBR led to a higher number and percentage of employees working in mom-and-pop businesses, which was primarily achieved by protecting existing ones from downsizing. This positive effect occurred over time with increasing magnitude. The authors also find heterogeneous effects on different sectors: FBR had strong positive effects on the retail sector, but not on the service sector. Findings suggest that chain store entry barriers can be beneficial for mom-and-pop businesses when designed carefully.

Breastmilk Substitutes Marketing Violations and Associated Factors in Rio de Janeiro, Brazil

Background Aiming to protect breastfeeding, the World Health Organization released the International Code of Marketing of Breastmilk Substitutes in 1981, which was adopted by the vast majority of the 118 member countries, including Brazil. The Brazilian Code regulates the marketing of infant formulas, baby bottles, teats, pacifiers, milk, and processed complementary food. Research aims (1) To determine if retail stores had violated the Brazilian Code and (2) to analyze factors associated with these violations. Methods This cross-sectional study included all drugstores, supermarkets, and department stores in the Southern Zone of Rio de Janeiro City, Brazil. Trained health professionals observed retail stores for marketed products and violations of the Brazilian Code and then interviewed their managers. Factors associated with the retail stores violating the Brazilian Code (outcome) were analyzed, employing a logistic regression model with 95% Confidence Interval. Results Of the retail stores ( N = 349) evaluated, 62.8% violated the Brazilian Code, ranging from 1 to 37 violations per retail store. The most common promotion strategies were price discounts and special displays. Retail stores being part of a chain store (aOR = 4.59) and their manager receiving visits from industry business representatives (aOR = 2.14) were associated with the presence of violations. Conclusions The prevalence of Brazilian Code violations was high, especially in chain stores. The association between regular visits by industry representatives and violations suggests an indirect influence of manufacturers on the promotion of human milk substitutes. We recommend strengthening compliance with the Brazilian Code through calling on governmental surveillance agencies and civil society mobilization.