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In this cumulative dissertation, I investigate unintended economic consequences of government interventions in three essays, each looking at a very specific question. The first essay examines how the introduction and enhancement of public pension systems affect demography, the second essay focuses on tax evasion via citizenship-by-investment programs, and the third essay evaluates the diversion of foreign financial assistance by powerful elites from recipient countries.
Despite the different research questions, all three essays evolve around the issue that actions of governments almost always create incentives causing unforeseen or unexpected behavioral responses. The first essay shows that increasing pension wealth creates incentives to save less for old-age in the form of own children, the second essay documents that policy instruments that increase the detection probability of tax evasion create incentives for evaders to find new ways to circumvent the law, and the third essay shows that foreign assistance creates rent-seeking incentives.
The results collected in the dissertation have implications for economic policy: Government interventions must be informed by an understanding of how well policies and programs produce (or contribute to) their desired outcomes. The results of all three essays presented in this thesis demonstrate that unforeseen or unexpected behavioral responses to government interventions can lead to economic outcomes or side effects that are divergent or contrary to the intentions of policymakers. These unintended economic consequences can significantly lessen the effectiveness of the policy or render it unsustainable. The first essay illustrates that the fertility effects of public pensions can erode the contribution base and, thus, the sustainability and political acceptance of a PAYG pension system in the long-run. The second essay shows that loopholes that have been found by evaders can lessen the deterrence effect of tax information exchange mechanisms, undermining their effectiveness to curb tax evasion. The third essay demonstrates that aid capture can prevent resources from being spent on their intended use, rendering foreign assistance less effective.
This cumulative dissertation explores the role of cultural values in sustainable innovation, and it consists of four papers:
1. Zhu, B., Habisch, A. & Thøgersen, J. (2018). The Importance of Cultural Values and Trust for Innovation- A European Study. International Journal of Innovation Management, 22(1), 1850017; First Online: 5 June 2017, doi: 10.1142/S1363919618500172
2. Habisch, A. & Zhu, B. (2017). Cultures as Determinants of Innovation- An Evidence from European Context. ABAC Journal, 37 (1), 1-11.
3. Zhu, B. (2016). Consumer’s Motivation, Opportunities and Abilities for Sustainable Consumption: A Case in China. uwf UmweltWirtschaftsForum, 1/ 16, DOI 10.1007/s00550-016-0423-6
4. Zhu, B. & Habisch, A. (under review). Farmers’ Engagement in Organic Farming Practice: An Application of the Motivation-Opportunity-Ability (MOA) model in Southern China. Eingereicht bei: Journal of Cleaner Production
This dissertation provides updating findings to innovation studies, which explicitly underpins the role of cultural values in sustainable innovation from Macro and Micro perspectives. The first two papers discussed cultural values at a Macro level while the third and fourth papers revealed the impact of cultural values on adoption of sustainable innovation at a Micro level specifically from consumer and producer perspectives.
"Present Bias in Choices over Food and Money: Evidence from a Framed Field Experiment" - this paper presents results from a field experiment investigating dynamically inconsistent time preferences over real food choices and commitment take-up in a natural environment. We implement a longitudinal consumption experiment with a continuous convex budget: College students repeatedly choose and consume lunch menus at their college canteen. We not only allow for a full continuum of healthy or unhealthy foods; we also explicitly design the consumption stage to comply with the consume-on-receipt assumption: utility is created right after handing out the food. The paper also focuses on the implications for effective policy design: It sheds light on consumers' tendency to utilize different types of self-control devices to commit to personal consumption plans. We further compare inconsistent behavior between convex food and money choices to investigate the applicability of monetary reward studies to natural behavior. We find no correlation between time parameters in food vs. money tasks. Utility estimates from food choices suggest that dynamically consistent individuals substitute internal self-control with commitment take-up. Non-committing individuals tend to be present-biased and naive about their inconsistency.
"Dynamic Inconsistencies and Food Waste: Assessing Food Waste from a Behavioral Economics Perspective" - this paper investigates the link between dynamically inconsistent time preferences and individual food consumption and waste behavior. Food waste is conceptualized as unintended consequence of consumption choices along the food consumption chain: Because inconsistent individuals postpone the consumption of healthier food at home, storage time is prolonged and food more likely to be wasted. Capitalizing on a rich data set from a nationally representative survey, the paper constructs targeted measures of time-related food consumption and waste behaviors. In line with the theory, the paper finds that more present-biased individuals waste more food. The mechanism can be empirically supported: Although dynamically inconsistent individuals plan their food consumption, they deviate from their consumption plans more compared to consistent individuals. Deviation behavior is significantly associated with food waste. The paper points to the importance of considering dynamic inconsistencies at different stages of the food consumption process to foster the intended effects of food policies (increase in healthy nutrition) and diminish unintended consequences (increase in food waste).
"Economic Behavior under Containment: How do People Respond to Covid-19 Restrictions?" - this paper investigates the effects of policy interventions on individual decision-making and preferences by looking at a period of unprecedentedly strict regulation: the Covid-19 pandemic. Focusing on Germany, we measure regulatory strictness by calculating a policy stringency index at the federal state level. Capitalizing on exogenous variation in predetermined election cycles across states, we instrument policy stringency with the distance to the next election. Results support a positive relation between weeks to next election and state policy stringency. Leveraging a nationally representative short panel, the paper exploits this exogenous variation in policy stringency across states and over time to assess behavioral changes in different economic domains. The paper finds that government restrictions increase working from home and the provision of childcare at home, while it reduces the number of grocery shopping trips. Containment policies also affect risk preferences and fear of Covid-19: individuals become more risk-averse and afraid of Covid-19 as a consequence of stricter policies. The results are robust against various different model specifications.
This cumulative dissertation investigates the newly emerged phenomenon of customer success management (CSM). CSM has received a significant amount of attention from academics and practitioners alike. However, the body of academic literature is still in its infancy, especially when comparing CSM’s relevance to the field of relationship marketing.
Manuscript 1: Zakrzewski, K., Krause, V., Pfaff, C. & Seidenstricker, S. (2023). Is customer success management a new relationship marketing practice? A review, definition, and future research agenda based on practice theory.
Manuscript 2: Zakrzewski, K., Krause, V., Eberl, D. & Rangarajan, D. (2023). Dynamic & proactive segmentation of post-sale customer relationships in B2B subscription settings: The customer health score.
Manuscript 3: Zakrzewski, K. (2023). Customer success management - closing a capability gap in the customer-focused structure toward customer centricity in B2B service contexts.
The first manuscript adopts a new approach to the investigation of CSM, providing a practice-based definition that distinguishes CSM from other relationship marketing constructs. By utilizing the 3 Ps framework of practice theory (praxis, practices, and practitioners), the definition of CSM as a strategic function was refined. In addition, the second manuscript utilized praxis to develop the customer health score, which can be used as an indicator for the dynamic and proactive segmentation of customers. The third manuscript builds on this functional definition to show how CSM’s organizational embeddedness can help overcome barriers to customer centricity by enabling adaptive organizational capability.
Reinforcement learning constitutes a valuable framework for reward-based decision making in humans, as it breaks down learning into a few computational steps. These computations are embedded in a task representation that links together stimuli, actions, and outcomes, and an internal model that derives contingencies from explicit knowledge. Although research on reinforcement learning has already greatly advanced our insights into the brain, there remain many open questions regarding the interaction between reinforcement learning, task representations, and internal models. Through the combination of computational modelling, experimental manipulation, and electrophysiological recording, the three studies of this thesis aim to elucidate how task representations and internal models are shaped and how they affect reinforcement learning. In Study 1, the manipulation of action-outcome contingencies in a simple one-stage decision task allowed to investigate the impact of explicit knowledge about task learnability on reinforcement learning. The results highlight the flexible adjustment of internal models and the suppression of central computations of reinforcement learning when a task is represented as not learnable. Using a similar manipulation, Study 2 investigates how this influence of explicit knowledge on reinforcement learning holds under the increasing complexity of a two-stage environment. Again, pronounced neural differences between task conditions indicate separable computations of reinforcement learning and, more importantly, the selective influence of explicit knowledge and internal models on reinforcement learning. Study 3 uses a novel task design which necessitates inference about plausible action-outcome mappings, and thus, credit assignment. The findings suggest that multiple task representations are neurally conceptualized and compete for action selection, thereby solving the structural credit assignment problem. In sum, the studies of this thesis highlight the importance of reinforcement learning as a central biological principle and draw attention to the necessity of flexible interactions between reinforcement learning, task representations, and internal models to cope with the varying demands from the environment.
This cumulative dissertation consists of five contributions considering different research questions in the field of multi- and omni-channel retailing and retail logistics.
The first contribution provides an overview of the areas of multi- and omni-channel retail logistics which have already been explored up to and including the year 2015. The focus is on empirical research published in academic journals. The findings are used to derive future areas of research which are addressed in the remainder of this dissertation.
The focus of the contributions 2 and 3 is on retailing with non-perishable goods (non-food retailing). On the one hand, the transition from a channel-specific and thus separated multi-channel logistics system towards a channel-integrated omni-channel logistics system is described and analyzed (contribution 2). On the other hand, retailers who have put time and effort into the integration of their sales channels are striving to use their integrated channels as best as possible, too. Because of the higher sales generated by customers on multiple channels, retailers steer their customers through the channels and use specific methods for order processing and logistics to their advantage (contribution 3).
Contributions 4 and 5 are especially concerned with food retailing on multiple distribution channels. On the one hand, a framework for the delivery of grocery on the last mile to the customer is presented (contribution 4) and on the other hand a supply-chain-wide perspective is taken in order to pinpoint logistics networks and network structures for different geographic regions and order volumes in omni-channel grocery retailing (contribution 5).
With this cumulative dissertation unexplored research in the field of multi- and omni-channel retail logistics is addressed. The overall contribution of this work is to analyze and solve challenges faced by retailers in terms of logistical integration and handling of multiple channels. Both the retail context (food and non-food) as well as a specific topic within this context are focused. In addition, value is added for practitioners in retail enterprises by depicting concrete recommendations in each of the individual contributions. By publishing in international academic journals the research results are made accessible to a broad readership and thus help to understand and solve logistical challenges in dealing with multiple channels in a retail company.
In many countries today, a rising life expectancy and the associated demographic shift, coupled with the advancements of modern medicine, has fueled an ever-increasing cost pressure on healthcare systems. A driving factor for these rising costs can be seen in inpatient stays in hospitals that in many cases are connected to cost-intensive treatments. A central concern of any hospital management in such an environment is therefore to understand how to make the best possible use of available resources. A decisive factor in this regard is the management of bed capacities.
The present cumulative dissertation comprises four contributions, which address
open research questions in the field of strategic, tactical and operative bed planning:
1 Walther, M., 2020. Strategical, tactical, and operational aspects of bed
planning problems in hospital environments. Submission planned to
Social Science Research Network (SSRN)
2 Hübner, A., Kuhn, H., Walther, M., 2018. Combining clinical departments
and wards in maximum-care hospitals. OR Spectrum 40, 679-709
3 Schäfer, F., Walther, M., Hübner, A., Kuhn, H., 2019. Operational
patient-bed assignment problem in large hospital settings including overflow
and uncertainty management. Flexible Services and Manufacturing
Journal 31, 1012–1041
4 Schäfer, F., Walther, M., Hübner, A., Grimm, D., 2020. Machine learning
and pilot method: tackling uncertainty in the operational patient-bed
assignment problem. Submitted to OR Spectrum on 13 February 2020
The first contribution sets out to provide an overview over the different hierarchical planning levels on which bed planning problems may be addressed. It should be noted in this context that several different aspects may be combined under the collective term “bed planning”. These may be delimited in terms of their scope and their planning horizon. A frequently used taxonomy in this context is the hierarchical subdivision of typical problems in health care into strategical, tactical and operational levels as provided by Hulshof et al. (2012). In the context of bed planning, a typical strategical problem is how to combine departments and wards to obtain benefits from pooled ward capacity. On a tactical level, an exemplary problem setting related to bed planning can be seen in devising master surgery schedules that optimize downstream bed occupancy levels as patients returning from surgery will require a bed for post-surgical recovery and monitoring. Finally,
on an operational level, patient-bed allocations need to be optimized while taking the objectives and constraints of patients and medical staff alike into account.
To start, the second contribution deals with the strategical problem of combining departments into groups and assigning pooled ward capacity to these groups with the goal of balancing bed occupancy levels within a hospital. Specifically, one of the underlying goals is to minimize the amount of beds required to meet a predetermined service level. However, merging ward capacities with the aim of simultaneously accommodating patients from different medical departments increases the complexity of organizing and ensuring proper care for these patients. This leads to so-called pooling costs. To tackle this problem, a modeling and solution approach is developed which is based on a generalized partitioning problem and is solved by integer
linear programming (ILP). This enables hospital management to determine the cost-optimal combination of all departments and wards in a hospital, while ensuring that predetermined thresholds with regard to maximum
walking distances for doctors and patients are adhered to.
Once pooled ward capacities are established, the solution space for allocating incoming patients to beds is greatly increased and the underlying allocation problem quickly becomes too complex to be handled without computational support. In this regard the third contribution ties in with the second contribution in that it deals with optimizing the operational patient-bed allocation problem. In order to enable optimal allocation of patients to beds, it is important to identify and take into account the individual needs and
limitations of the three main stakeholders involved, namely patients, doctors, and nursing staff. All of these stakeholders exhibit different and sometimes contradicting objectives and constraints, such that a trade-off has to be made that maximizes the overall utility for the hospital. In addition, the complexity of the problem is increased by the high volatility and uncertainty regarding patient arrivals, types of illnesses, and the resulting remaining lengths of stay of newly arriving patients. In order to address this situation,
a mathematical model and solution approach for the patient-bed allocation problem is developed that is designed to generate solutions for large, real-life operative planning situations. In addition to being able to deal with overflow situations, this solution approach further takes different patient types into account, for example by anticipating emergency patient arrivals.
Finally, the fourth contribution builds on the third contribution in that the modeling and solution approach to allocate patients to beds is extended by several aspects. As mentioned above, hospitals have to deal with uncertainty regarding the actual demand for beds. Here, the fourth contribution improves the anticipation of emergency patients by using machine learning. Specifically, weather data, seasons, important local and regional events, and current and historical occupancy rates are combined to better anticipate emergency inpatient arrivals. In addition, a hyper-heuristic approach is developed based on the pilot method defined by Voß et al. (2005). By combining the improved anticipation of emergency patients with this hyperheuristic approach significant improvements can be achieved compared to the solution approach presented in the third contribution.
Abstract Paper 1:
Cybervetting has become common practice in personnel decision-making processes of organizations. While it represents a quick and inexpensive way of obtaining additional information on employees and applicants, it gives rise to a variety of legal and ethical concerns. To limit companies’ access to personal information, a right to be forgotten has been introduced by the European jurisprudence. By discussing the notion of forgetting from the perspective of French hermeneutic philosopher Paul Ricoeur, the present article demonstrates that both, companies and employees, would be harmed if access to online information on applicants and current employees would be denied. Consistent with a Humanistic Management approach that promotes human dignity and flourishing in the workplace, this article proposes guidance for the responsible handling of unpleasant online memories in personnel decision-making processes, thereby following Ricoeur’s notion of forgetting as “kept in reserve”. Enabling applicants and employees to take a qualified stand on their past is more beneficial to both sides than a right to be forgotten that is questionable in several respects.
Abstract Paper 2:
When hiring new employees, managers often conduct online background checks on applicants. This practice has led many applicants to reach out to legal and technological solutions that render unpleasant online memories forgotten. With this article, we question the effectiveness and social value of approaches aimed at permanently erasing information from the web. Furthermore, we provide practitioners with guidance toward responsible handling of applicant information from the web. In this conceptual article, we review the literature on organizational memory and interpret it through a philosophical lens by turning to the works of the French philosopher Paul Ricoeur and the French sociologist Maurice Halbwachs. We conclude that legally or technologically enforced forgetting on the web fails to provide true protection from a memory in a hiring situation, as remembering in an organization is a complex social process that hardly lets a memory disappear completely. As a result, legal and technological approaches that aim at erasing unpleasant memories from the web represent only an illusion of protection for job applicants. Alternatively, we propose a selection process that makes the erasure of unpleasant memories from the web unnecessary. Previous literature on organizational memory has already criticized a purely mechanistic view of memory in organizations, by which memories are treated as objects that can be retrieved and deleted on demand. To the best of our knowledge, this is the first article that establishes a connection between organizational memory and the use of online information in selection.
Abstract Paper 3:
Companies have started using social media for screening applicants in the selection process. Thereby, they enter a low-cost source of information on applicants, which potentially allows them to hire the right person on the job and avoid irresponsible employee behavior and negligent hiring lawsuits. However, a number of ethical issues are associated with this practice, which give rise to the question of the fairness of social media screening. This article aims to provide an assessment of the procedural justice of social media screening and to articulate recommendations for a fairer use of social media in the selection process. To achieve this, a systematic literature review of research articles pertaining to social media screening has been conducted. Thereby, the benefits and ethical issues relating to social media screening, as well as recommendations for its use have been extracted and discussed against Leventhal’s (1980) rules of procedural justice. It turns out that without clear guidelines for recruiters, social media screening cannot be considered procedurally fair, as it opens up way too many opportunities for infringements on privacy, unfair discrimination, and adverse selection based on inaccurate information. However, it is possible to enhance the fairness of this practice by establishing clear policies and procedures to standardize the process.
Abstract Paper 4:
Social media platforms have presented individuals with sheer endless possibilities for networking, creating and exchanging information. Yet, overwhelming social demands, privacy concerns, and even a lack of access to new technologies have led many users to discontinue social media usage. Simultaneously, companies screen and select applicants on social media. As previous research suggests that employers may view missing social media information with suspicion, we ask if non-users of social media face disadvantages in hiring: Are they discriminated against? In this study, we employ a 2 x 2 experimental survey design to verify whether absence from social media may result in discriminatory behavior towards job applicants. We conduct the study with two samples: The first comprises business students, and the second consists of more senior members of the workforce. Although this study does not confirm discrimination against non-users of social media in the selection process, it adds to the literature in two respects: Firstly, it shows differences in call-back between highly and less qualified candidates as a result of social media information. Secondly, it suggests unintentional, systemic rater biases. Against these findings, we formulate recommendations for applicants and employers and give recommendations for future research in this field.
Abstract paper 1:
This paper examines how service firms (i.e., car dealers) should manage the remedy for a recalled vehicle, specifically the timing of the repair and the message on its outcome. Drawing on the Protective Action Decision Model (PADM), we consider the repair for a recalled product as a protective action and propose a central role of customers' risk concerns for managing this process. Across multiple studies (including interviews with car dealers, archival data, and experiments with car owners), we show that firms' service processes are not well-aligned with these concerns. Regarding the timing, firms often delay the repair service until the next regular inspection for convenience, while customers prefer an immediate repair if they perceive a high risk and if risk exposure time (time until next inspection) is long. Regarding the outcome message, firms often communicate a benefit such as a value increase (a camouflage signal), which is ineffective. Instead, customers' satisfaction and loyalty with the service firm are increased by communicating a risk reduction (a need signal), mediated by perceived credibility. We recommend that service firms should let customers choose the timing for the repair and frame its outcome as a risk reduction, rather than concealing it as a benefit.
Abstract paper 2:
This paper examines the remedial effect of complaint process recovery (CPR) on customer outcomes (trust and repatronage intentions) after double deviations. CPR refers to improvements in complaint-handling processes aimed at avoiding another recovery failure. Drawing on the stereotype content model, we propose that CPR communication (i.e., informing customers about the improved complaint-handling processes after a double deviation) and CPR verification (i.e., providing evidence of these improvements when customers experience another service failure) foster repatronage intentions, serially mediated by perceived competence and trust. Further, it is proposed that CPR communication reinforces the latter mediation effect. Findings from one scenario-based experiment and two longitudinal field experiments support these hypotheses. Further, the effects of CPR communication and verification are robust across different levels of perceived failure severity and across strong- vs. weak-relationship customers. As a major managerial takeaway, firms learn how to signal their competence and remedy a double deviation, even when accepting and admitting that service failures can reoccur.
Abstract paper 3:
Purpose:
This paper examines how customer expectations of service quality change if a service provider is forced to adapt its service provision due to the social distancing rules applied during pandemic times.
Design/methodology/approach: This research draws on the concept of zone of tolerance for service quality, using field data to determine the zones of tolerance for different service quality dimensions in traditional and adapted service settings for mass events. Customers’ zones of tolerance are compared through repeated measures analyses of variance. Further, the effect of perceived service quality on customer outcomes (i.e., satisfaction with the adapted service and repatronage intention after the pandemic) is examined through a mediation analysis, with usage frequency as the mediating variable.
Findings: This paper shows that customers’ zones of tolerance narrow following service adaptations, which can be explained by rising expectations of minimum tolerable service levels. If the perceived service exceeds this lower threshold of the zone of tolerance, customers show higher satisfaction with the adapted service. Additionally, satisfaction with the adapted service has a positive effect on repatronage intention for the traditional service (i.e., after the pandemic), mediated by usage frequency of the adapted service.
Originality: The topic of service adaption is examined from a customer point of view.
Practical implications: The findings of this study provide important implications for service providers about how to handle service adaption during times of social distancing.
In children exposed to any traumatic experience, a conditional prevalence rate of 15.9% was estimated for posttraumatic stress disorder (PTSD; Alisic et al., 2014). In order to achieve best treatment outcomes, selecting evidence-based treatments is necessary (Durlak & DuPre, 2008). For pediatric PTSD, international guidelines recommend the use of manualized trauma-focused cognitive behavioral therapy (TF-CBT; Forbes, Bisson, Monson, & Berliner, 2020; National Institute for Health and Care Excellence, 2018; Phoenix Australia Centre for Posttraumatic Mental Health, 2013) and many effectiveness studies and initiatives (e.g. Goldbeck, Muche, Sachser, Tutus, & Rosner, 2016; Jensen et al., 2014; National Child Traumatic Stress Network, 2012) disseminated the TF-CBT manual of Cohen, Mannarino and Deblinger (2006, 2017; specific TF-CBT). However, the uptake of evidence-based treatments such as specific TF-CBT into practice is strongly affected by service providers’ attitudes toward evidence-based practice (EBP; Aarons, 2004; Aarons, Cafri, Lugo, & Sawitzky, 2012; Aarons, Sommerfeld, & Walrath-Greene, 2009; Moullin, Dickson, Stadnick, Rabin, & Aarons, 2019). These attitudes can be measured with the Evidence-Based Practice Attitudes Scale-36 (EBPAS-36; Rye, Torres, Friborg, Skre, & Aarons, 2017). In Germany, several effectiveness trials are underway further disseminating specific TF-CBT (Rosner, Barke, et al., 2020; Rosner, Sachser, et al., 2020) but a reliable and validated German version of the EBPAS-36 is missing. In addition, in terms of pooled effect sizes (ES), only one review evaluated specific TF-CBT 10 years ago (Cary & McMillen, 2012). Furthermore, little is known about the stability of its treatment effects, the concordance between children and adolescents’ and their caregivers’ ratings regarding the youths’ symptoms in this context as well as the influence of the heterogeneity of instruments used by individual studies.
Therefore, the aims of this dissertation were fourfold: Publication 1 pooled ES for specific TF-CBT regarding posttraumatic stress symptoms (PTSS) and secondary outcomes to provide an update of the literature. Large improvements were found across all outcomes and results were favorable for specific TF-CBT compared to all control conditions at post-treatment. Publication 2 pooled ES for specific TF-CBT at 12-month follow-up for the same outcomes to evaluate the stability of treatment effects and investigated concordance between participants and caregiver ratings. Again, large improvements were evident across all outcomes and TF-CBT was superior to active treatments and treatment as usual at 12-month follow-up. No significant differences were detected between participant and caregiver ratings with high reliability across almost all outcomes and assessment points. Publication 3 produced a validated German translation of the EBPAS-36 (EBPAS-36D) to facilitate EBP implementation research in Germany. Good psychometric properties and validity of the EBPAS-36D were confirmed. As additional content, this dissertation provides an unpublished report on the pooled ES of publication 1 differentiated by instruments used to assess the outcomes. ES did not differ by the instrument used to assess the respective outcome.
The conclusions that can be drawn from the studies as well as their limitations are discussed in the final section. While the EBPAS-36D was successfully validated and specific TF-CBT was strongly supported, several issues were identified that need further research attention.