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“While each of our individual companies serves its own corporate purpose, we share a fundamental commitment to all of our stakeholders” (Business Roundtable, 2019). With this statement, 181 managers of the Business Roundtable renewed their fundamental view about the purpose of business. This symbolic statement generated a vivid discussion and proved the importance and actuality of addressing organisational purpose as a research topic.
From an academic perspective the discussion about organizational purpose is not new but diverse (Bartlett & Ghoshal, 1994; Basu, 1999; Canals, 2010; George, 1999; Henderson & Steen, 2015; Hollensbe, Wookey, Hickey, George, & Nichols, 2014; Koslowski, 2001; Loza Adaui & Mion, 2016; Porter & Kramer, 2011; Quinn & Thakor, 2018; Sisodia, Wolfe, & Sheth, 2006). There are many overlapping points between the discussion on the organisational purpose and the study of corporate sustainability. Because from a sustainability management perspective, companies are administrated and valued, taking into consideration not only their economic performance but also the ecological and social impact that they generate (Elkington, 1994).
This cumulative dissertation addresses in a broad perspective the overlapping points of the discussion on organizational purpose and sustainability and entails four modules:
Module I: Matthias S. Fifka, Anna-Lena Kühn, Cristian R. Loza Adaui & Markus Stiglbauer (2016) Promoting Development in Weak Institutional Environments: The Understanding and Transmission of Sustainability by NGOs in Latin America. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 27(3), 1091-1122.
Module II: Giorgio Mion & Cristian R. Loza Adaui (2020) Understanding the Purpose of Benefit Corporations: An Empirical Study on the Italian Case. International Journal of Corporate Social Responsibility, 5(4), 1-15.
Module III: Giorgio Mion & Cristian R. Loza Adaui (2019) Mandatory Nonfinancial Disclosure and Its Consequences on the Sustainability Reporting Quality of Italian and German Companies. Sustainability, 11(17), 4612.
Module IV: Cristian R. Loza Adaui (2020) Sustainability Reporting Quality of Peruvian Listed Companies and the Impact of Regulatory Requirements of Sustainability Disclosures. Sustainability, 2020, 12(3), 1135.
Article 1:
Despite the proliferation of healthier side items for children at fast food restaurants, many parents still do not make healthy choices for their children in this setting. The goal of this research is to identify the parents most likely to do so and develop an intervention to nudge these parents toward making healthier choices in retail outlets. Across four field studies conducted in a retail environment (i.e., locations of a fast food restaurant chain), the authors predict and find that parents with a high tendency to engage in social comparison and a malleable view of the self are most likely to conform to the norm in their parental social network. Given that the norm in the population studied is to order a less healthy side item (e.g., fries) versus a healthy side item (e.g., fruit), conforming results in significantly less healthy orders for the children of these individuals. The authors demonstrate that a social norm-based intervention designed to set a new healthy norm in this retail environment succeeded in increasing the overall proportion of parents that chose a healthy side item by over 29% by increasing the choice of healthy sides specifically for these individuals. The authors conclude with a discussion of implications for theory, retail managers, and policy makers.
Article 2:
Despite the popularity of Mystery Shopping (MS) to assess service performance relatively little research has been conducted on the practice. This article extends the research on Mystery Shopping by evaluating drivers and moderators of employee performance at Mystery Shopping checks. To do so, based on the results of in-depth interviews with 24 employees of a fast-food chain and existing theoretical knowledge, a model of employee performance at MS checks was developed. The developed model was then evaluated applying structural equitation modeling techniques. For this purpose, data of more than 200 employees from 9 different restaurants of the fast food restaurant chain were collected. Where perceived goal importance is identified as a direct driver of employee performance at Mystery Shopping checks results show that the effect of Job Satisfaction on MS performance is mediated by the satisfaction with MS as a service measurement tool and moderated by organizational commitment. Results further show that incentives are only effective under certain conditions to increase employee performance at Mystery Shopping checks.
Article 3:
Technologies that enable customers to produce services on their own (SSTs) have found their way into service delivery routines. The successful deployment of SSTs depends critically on employees’ attitudes toward the technologies, because their attitudes determine their willingness to use and introduce the SSTs to customers. A negative attitude toward SSTs instead can lead to employees’ dissatisfaction and generally poorer performance. Despite the importance of employees’ attitudes towards SSTs, relevant theoretical contributions are limited. This article addresses this lack of research. It introduces a holistic model of how employees’ attitudes toward SSTs form. Based on 30 in-depth interviews with frontline employees the model proposes that attitude formation towards SSTs depends on the perceived influence of SST deployment on job security, customer orientation, work design, and technological dependence. Second, by compiling practical findings from two different industries, this study identifies some moderating effects, according to the conditions for the SST deployment. Two key moderators influence the strength and even the direction of the effects of employees’ attitudes toward SSTs: employees’ job class and the level of automation implied by SSTs. Based on the conceptualized model this study offers managerial implications with regard to the successful introduction of SSTs, from an employee perspective. It also highlights some pertinent tactics, depending on the SST deployment condition, for improving employees’ attitudes toward SSTs.
Automation technologies and human capital are fundamental drivers of economic growth. The motivation of this thesis is to advance the literature by providing novel insights into the determinants of automation innovation and human capital. For this purpose, this thesis exploits immigration episodes, uses empirical methods for causal inference and introduces new sources of data on immigrants and automation innovation. Chapter 2 and Chapter 3 each examine the relationship between labor endowments and automation innovation. Chapter 4 examines the effects of ethnic concentration on immigrant childrens' acquisition of human capital.
Recommending products that are helpful to customers and tailored to their needs is of pivotal importance for successful online retailing. Online purchase data is typically used to generate such recommendations. This dissertation studies two topic models that use purchase data to make product recommendations. The Author Topic Model (ATM) and Sticky Author Topic Model (Sticky ATM) are applied to the purchase data of an online retailer of animal health products, and their predictive performances are contrasted with those of the benchmark methods Unigram, Bigram, and Collaborative Filtering (CF). This work focuses on the generation of new product recommendations. To increase novelty in recommendations, a new pre-processing approach is presented. The data is prepared prior to model application such that more novel products are included in the recommendations. A total of six data preparation variants are tested. The key finding is that topic models are very competitive with the benchmark methods and outperform them with the data preparation variant, where repetitively purchased items (repeat items) and customers with one item transaction (single-item customers) are eliminated from the data. Marketing practitioners should consider this pre-processing when implementing topic models as recommender models in their online shops.
The cumulative dissertation "Optimization models for shelf space allocation in retail stores" consists of the four individual scientific contributions listed below:
1. Düsterhöft, Tobias, Hübner, Alexander and Schaal, Kai (2020): A practical approach to the shelf-space allocation and replenishment problem with heterogeneously sized shelves.
2. Hübner, Alexander, Düsterhöft, Tobias and Ostermeier, Manuel (2020): An optimization approach for product allocation with integrated shelf space dimensioning in retail stores.
3. Ostermeier, Manuel, Düsterhöft, Tobias and Hübner, Alexander (2020): A model for the store wide shelf space allocation.
4 Düsterhöft, Tobias (2020): Retail shelf space planning - Differences, problems and opportunities of applied optimization models.
The planning and best possible utilization of the available shelf space is of central importance for retailers. Shelf space is a scarce resource in stores today. Shelf planners need to determine optimal shelf spaces for each item within product allocation. Researchers have already developed several decision support models. Usually, these models have in common that they can make a decision on the number of facings per product. A facing is a visible sales unit of a product on the shelf. Behind a facing, depending on the depth of the shelf further sales units are located. With an increase in the number of facings the visibility of the product for customers is also increasing, which is associated with a certain demand effect, the so-called space elasticity.
The content of this dissertation are optimization models that extend existing approaches to product allocation significantly and thus also enable a practical application of these approaches. Within the framework of a practical project substantial new contents for the product allocation can be determined. The resulting optimization models build on each other. Initially, in the 1st article the product allocation is extended by an exact consideration of the shelf space dimensions. The resulting question of the optimal shelf layout is the central part of the 2nd article. If the layouts of shelves are determined on the shelf, the total shelf space per category must be known beforehand. This question is dealt with in the 3rd article. Finally, new research fields are identified in the 4th article based on current real processes and requirements.