Abstract: Abstract To make evaluations about the morally relevant impacts of algorithms, transparency is needed. This paper lays out discussion of algorithms and transparency in an explicitly moral analysis with a special focus on the domain of justice and security. The paper provides an account of the moral import of transparency, defined itself as an instrumental value denoting a state of affairs conducive to acquisition of knowledge about some X. A normative account of transparency is outlined relying on an intuitionist framework rooted in the works of Ross and Robert Audi. It will be argued that transparency can be derived as a subsidiary (prima facie) principle from other duties including beneficence and justice and that it is groundable in the value of knowledge. Building on this foundation, the paper examines transparency and duty conflict with a special focus on algorithms in justice and security, recognising that complete transparency can be impossible where duties conflict. It is argued that as a subsidiary (prima facie) principle, transparency is overridable but ineradicable, which is to say that sufficiently justifiable reasons for secrecy or opacity can licence limiting transparency, that is, there may be occasion where full transparency is not our final duty. PubDate: 2020-12-23
Abstract: Abstract The goal of this systematic literature review is to provide a detailed understanding of the determinants and consequences of clawback provisions in management compensation contracts, motivated by the increasing global regulatory, practical, and academic importance of implementing this new corporate governance tool. We identify 44 empirical (archival and experimental) studies on this topic and review them based on an agency-theoretical framework. Our review of empirical clawback research offers insights into this growing field and supports future researchers in developing new research questions. Our main results are as follows. First, we still know very little about the drivers of clawback adoption, as prior research concentrated on the consequences of clawback provisions. Second, many studies indicate that clawbacks lead to better earnings quality (reduced re-/misstatements), better pay-for-performance sensitivity, increased firm performance, greater value relevance, and lower overinvestment. While there are indications that clawbacks may serve an incentive-alignment function for managers, their contribution may be dependent on other corporate governance mechanisms, e.g. board composition, as significant moderators. We develop a research agenda with detailed recommendations for future research from methodological and content perspectives. We expect that the research activity in this field regarding the European capital market will increase in light of the EU shareholder rights Directive of 2017. PubDate: 2020-12-10
Abstract: Abstract Digital transformation (DT) is a major challenge for traditional companies. Despite the term, DT is relatively new; its substance is not: a whole stream of research has examined the relationship between DT and firm performance with contradictory findings. Most of these studies have chosen a linear correlational approach, however, did not analyze the holistic interplay of DT dimensions, leading to firm performance. This applies especially to the mature financial services industry and the future perspectives of traditional financial service providers (FSP). Hence, it remains an open question for both research and practice what DT configurations have a positive impact on firm performance. Against this background, the aim of this exploratory study is to examine how DT dimensions are systemically connected to firm performance of incumbent FSP. Drawing on a qualitative-empirical research approach with case data from 83 FSP, we identify digital configurations along different levels of firm performance. Our findings suggest an evolution of digital configurations of FSP, leading to five empirical standard types from which only one managed to establish a profound basis of DT. PubDate: 2020-12-04
Abstract: Abstract Strategic organizational decision making in today’s complex world is a dynamic process characterized by uncertainty. Therefore, diverse groups of responsible employees deal with the large amount and variety of information, which must be acquired and interpreted correctly to deduce adequate alternatives. The technological potential of artificial intelligence (AI) is expected to offer further support, although research in this regard is still developing. However, as the technology is designed to have capabilities beyond those of traditional machines, the effects on the division of tasks and the definition of roles established in the current human–machine relationship are discussed with increasing awareness. Based on a systematic literature review, combined with content analysis, this article provides an overview of the possibilities that current research identifies for integrating AI into organizational decision making under uncertainty. The findings are summarized in a conceptual model that first explains how humans can use AI for decision making under uncertainty and then identifies the challenges, pre-conditions, and consequences that must be considered. While research on organizational structures, the choice of AI application, and the possibilities of knowledge management is extensive, a clear recommendation for ethical frameworks, despite being defined as a crucial foundation, is missing. In addition, AI, other than traditional machines, can amplify problems inherent in the decision-making process rather than help to reduce them. As a result, the human responsibility increases, while the capabilities needed to use the technology differ from other machines, thus making education necessary. These findings make the study valuable for both researchers and practitioners. PubDate: 2020-11-20
Abstract: Abstract Core self-evaluation summarizes a decision maker’s self-worth. This key personality trait has been shown to lead to extreme performance consequences of either winning or losing big. We suggest that these extreme performance outcomes may partly rest in how core self-evaluation affects executive’s perception and evaluation of risk in choices under uncertainty. We conducted a choice experiment building on the original prospect theory experiments with 97 executives, in which we measured the effect of core self-evaluation on risk behavior. As a robustness test, we replicated and validated our findings with a larger sample of 111 executives. Building on the tenets of prospect theory, we show that decision makers with high levels of core self-evaluation are less loss averse. Surprisingly, this effect differs depending on whether gains or losses are highlighted in the decision. For gains, higher levels of core self-evaluation are associated with behaviors that are closer to risk neutrality. For losses, however, we find that higher levels of core self-evaluation further enhance the risk-seeking behavior of decision makers. These findings contribute towards understanding the effects of core self-evaluation in the work environment as well as in the decision process and provide an additional lens for studying how the personality of executives affects choices under uncertainty. PubDate: 2020-11-18
Abstract: Abstract Since the early 1990s, when digitalisation began to open new opportunities for disseminating information, many academic journals started to introduce online services. However, while some studies suggest that online availability and free access to journal articles are positively connected to the number of citations an article receives, little is known about whether being an early adopter of digital services provides journals with a (long-term) competitive advantage in times of digital change. We use data from SSCI-listed management journals to examine which journals pioneered the introduction of digital services, to what extent first-mover advantages can be identified, and which journal characteristics are associated with citation-based performance indicators. Our results show that lower ranked journals were the first to introduce digital services and were beneficiaries of the digital age. Furthermore, we find a negative correlation between general submission fees and journal performance and that the top-performing journals of our sample are those of non-commercial publishers. Our analysis of the relationship between journal performance and the provision of open access contradicts previous studies, as we find no positive correlations between performance and open access on the journal level. PubDate: 2020-11-18
Abstract: Abstract Traditional ways of managing information technology (IT) service providers are no longer applicable as companies use more and more services provisioned in the cloud. Therefore, organizations are looking for new ways to manage their relationship with cloud providers. The shift from IT-as-a-product to IT-as-a-service puts clients in a continued dependency on cloud service providers (CSPs), making provider management a critical factor for companies’ success. In this paper, we (1) identify cloud-specific challenges in managing CSPs, (2) develop a corresponding process framework for CSP management, and (3) discuss and extend this framework. Our final cloud management framework comprises ten processes for effective CSP management based on a literature study and twelve expert interviews. Furthermore, we unpack three major contingency factors, i.e., client–provider ratio, specificity, and service delivery model, which influence the reasonability and configuration of the cloud management processes. Drawing on two specific cases from our interview study, we explicate the contingency factors’ influence. Thus, our paper contributes to cloud sourcing research by deepening the understanding of client–provider relationships and by introducing a viable CSP management instrument contingent on three salient factors of cloud service provisioning. PubDate: 2020-11-02
Abstract: Abstract The existence of ambiguity presents a challenge to decision-makers as it eliminates the ability to apply standard optimization approaches, such as those based on calculating the objective expected values of alternative actions. In reality, ambiguity arises in most strategically important decisions in some form because of the genuine limits on the decision-maker’s rationality and on the information available about the alternatives and the future. To address that reality, we define such problems as strategic decision-making under ambiguity where choices over resource investments must be made in competitive environments where possible outcomes and their payoffs are known ex ante, but the probabilities of such outcomes are unknowable ex ante. We outline a multi-step, logical approach for addressing such problems in theory with the goal of providing an improved basis for practical decisions that should increase organizational performance. PubDate: 2020-11-02
Abstract: Abstract Decisions are often postponed even when future profits are not expected to compensate for the losses. This is especially relevant for financial and entrepreneurial disinvestment choices, as investors often have a disposition to hold on to losing assets for too long. We use an experiment with real real-options to study one possible behavioral motivation. Studies in psychology suggest that individuals have different styles of handling the stress involved in making decisions. We find that participants' styles of decision-making and risk aversion as well as the interaction of those can assist in predicting the likelihood that the participants will make investments and the timing of their disinvestment decisions. We also find the overall structure of the findings to be in line with a planner–doer model. PubDate: 2020-11-01
Abstract: Abstract Organizational ambidexterity (OA) is an essential capability for organizations in turbulent environments, as it facilitates the simultaneous pursuit of exploitation and exploration. Over the last years, knowledge on OA has continuously matured, covering outcomes, moderators, and types of OA. However, little is known about how to build an ambidextrous organization in terms of what capabilities are needed and how they can be developed. To address this gap, we developed an organizational ambidexterity maturity model (OAMM) that assists organizations in becoming ambidextrous based on actionable practices (APs) structured according to five capability areas. In developing the OAMM, we conducted a structured literature review to compile APs and used card sorting to assign APs to maturity stages. We evaluated the OAMM based on literature-backed design objectives and discussions with practitioners. We also conducted an initial empirical validation of the APs’ assignment to maturity stages. The OAMM extends the descriptive and prescriptive knowledge on OA by taking a holistic view on OA, by shedding light on the interrelation of different OA types, and by enabling the assessment of an organization’s as-is and to-be OA maturity based on implemented APs. PubDate: 2020-11-01
Abstract: Abstract Digital innovations drive an organization’s digital transformation. While numerous studies focus on digital product and service innovation, digital process innovation and novel business models, management and leadership concepts are primarily investigated as enabling framing conditions in previous contributions. However, management and leadership concepts have changed dramatically in the digital era. The rise of digital technologies has led to companies acquiring large amounts of data. Moreover, novel technical solutions facilitate the analysis and processing of this data, leading to an increase in organizational transparency. Traditional leadership theories fail to explain the influence of digitalization and increasing transparency of leadership. In a digitized world, managers often face a trade-off when using data for management purposes. On the one hand, transparency leads to decreasing information asymmetries, allowing managers to monitor employees’ actions at low cost. On the other hand, employees demand self-organization and empowerment. In this context, new forms of control and employee engagement need to be designed. With our conceptual paper, we aim to provide a solution to the challenges of using transparency in leadership in a mutually beneficial way for managers and employees by introducing the concept of “inverse transparency.” We develop the concept building on the existing literature on transparency and leadership. We see inverse transparency as the basis for a new type of digital innovation, which we introduce as digital leadership innovation. Thus, we enhance current research on leadership approaches and digital innovation and create a theoretical basis for further research. PubDate: 2020-10-29
Abstract: Abstract In corporate valuation, it is common to assume either passive or active debt management. However, it is questionable whether these pure financing policies reflect the real financing policies of firms with a sufficient degree of accuracy. This shortcoming has led to the development of mixed financing strategies as combinations of pure financing strategies. Whereas hybrid financing is directly linked to the two-phase model, it is unclear how to apply discontinuous financing in such a setting. In this study, according to the two versions of hybrid financing, we analyze the implementation of discontinuous financing in a two-phase model. Thereby, we present a simpler and more intuitive derivation of the valuation equation for discontinuous financing to increase its acceptance and its use for corporate valuation practice. Moreover, we compare the different mixed financing strategies with each other theoretically, and we conduct simulations to elucidate the impact on market values and the sensitivities of input parameters. The study concludes that the presented mixed financing strategies can help in the attempt to reflect the real financing behavior of firms more accurately and, therefore, constitute a valuable alternative to pure financing strategies for valuation. PubDate: 2020-10-15
Abstract: Abstract While traditional organizations create value within the boundaries of their firm or supply chain, digital platforms leverage and orchestrate a platform-mediated ecosystem to create and co-create value with a much wider array of partners and actors. Although the change to two-sided markets and their generalization to platform ecosystems have been adopted among various industries, both academic research and industry adoption have lagged behind in the healthcare industry. To the best of our knowledge current Information Systems research has not yet incorporated an interorganizational perspective of the digital transformation of healthcare. This neglects a wide range of emerging changes, including changing segmentation of industry market participants, changing patient segments, changing patient roles as decision makers, and their interaction in patient care. This study therefore investigates the digital transformation of the healthcare industry by analyzing 1830 healthcare organizations found on Crunchbase. We derived a generic value ecosystem of the digital healthcare industry and validated our findings with industry experts from the traditional and the start-up healthcare domains. The results indicate 8 new roles within healthcare, namely: information platforms, data collection technology, market intermediaries, services for remote and on-demand healthcare, augmented and virtual reality provider, blockchain-based PHR, cloud service provider, and intelligent data analysis for healthcare provider. Our results further illustrate how these roles transform value proposition, value capture, and value delivery in the healthcare industry. We discuss competition between new entrants and incumbents and elaborate how digital health innovations contribute to the changing role of patients. PubDate: 2020-09-11
Abstract: Abstract The importance of digitalization continues to grow, with companies from all sectors and of various sizes subject to this influence. To remain competitive in the future, companies must recognize and overcome the opportunities and challenges of digitalization in the long term. To do this, companies can develop an entire digitization strategy that affects all areas of the business, enabling them to achieve a holistic digital transformation and ensure their survival in the digital age. Based on a qualitative–empirical research design, this study examines whether small and medium-sized enterprises (SMEs) and large enterprises (LSEs) have such a strategy, and how it is structured. In particular, it addresses the use of new technology, changes in value added, structural changes and the financing of digitalization. At the same time, there is an examination of any similarities and differences among the different company sizes. PubDate: 2020-09-11
Abstract: Abstract Building operation faces great challenges in electricity cost control as prices on electricity markets become increasingly volatile. Simultaneously, building operators could nowadays be empowered with information and communication technology that dynamically integrates relevant information sources, predicts future electricity prices and demand, and uses smart control to enable electricity cost savings. In particular, data-driven decision support systems would allow the utilization of temporal flexibilities in electricity consumption by shifting load to times of lower electricity prices. To contribute to this development, we propose a simple, general, and forward-looking demand response (DR) approach that can be part of future data-driven decision support systems in the domain of building electricity management. For the special use case of building air conditioning systems, our DR approach decides in periodic increments whether to exercise air conditioning in regard to future electricity prices and demand. The decision is made based on an ex-ante estimation by comparing the total expected electricity costs for all possible activation periods. For the prediction of future electricity prices, we draw on existing work and refine a prediction method for our purpose. To determine future electricity demand, we analyze historical data and derive data-driven dependencies. We embed the DR approach into a four-step framework and demonstrate its validity, utility and quality within an evaluation using real-world data from two public buildings in the US. Thereby, we address a real-world business case and find significant cost savings potential when using our DR approach. PubDate: 2020-09-04
Abstract: Abstract Revenue management is a complex operational planning process involving predictive and prescriptive analytics. As real-world implementations strongly rely on the joint outcomes from both algorithms and analysts, we consider the revenue management system as an example of symbiotic analytics systems. This paper presents insights from a field study observing a natural experiment in revenue management. As a firm updates its automated revenue management systems, it also updates the related processes and the corresponding organizational structure. We use this opportunity to examine the multilevel use of symbiotic analytics systems based in a field study and explore the implications for the design of future systems. Specifically, we identify two different perspectives on the revenue management process. In the functional view, jobs are organized sequentially with a high degree of system-oriented specialization. The process view organizes jobs in a parallel structure, differentiating two perspectives on demand. Depending on what view the firm implements, different structural fault lines turn the communication and training of analysts into keystones of the planning process. Furthermore, as we point out, even implementing more sophisticated algorithms and redesigning planning processes and organization do not seem to reduce the relevance of human analysts. PubDate: 2020-08-12
Abstract: Abstract The number of ventures with a market value of one billion USD or more has considerably increased during the last decade. Driven by new technologies and business models, these ventures became an integral part of our daily life. Particularly, the number of unicorns based in China and other regions outside the US raised during recent years whereas the phenomenon was initially limited to the US region. Existing research has mainly focused on descriptive approaches to examine the rise of these ventures but lacks knowledge on the drivers of this phenomenon. We address these research gaps and investigate the underlying factors that foster the emergence of such high-valued ventures. Our results present several economic environmental as well as investor-related factors that impact the likelihood for a venture to achieve a market valuation of more than one billion USD. Subsequently, we derive theoretical and practical implications that may foster the future emergence of new high-valued ventures, covering regulatory, investor- and venture-specific aspects. PubDate: 2020-07-29
Abstract: Abstract This paper tackles a key problem in path dependence research: how can locked-in organizations regain their scope for maneuver' Leveraging insights from two surprising and thus revelatory cases of organizations that have successfully escaped from path dependence, we develop the theoretical argument that regaining scope for maneuver can be achieved by interrupting the logic of a path’s underlying self-reinforcing mechanisms. More specifically, we argue that, through a targeted interruption of the working of these mechanisms, hyper-stable patterns inscribed in an organization can be gradually rewound—and alternative futures become possible. We position our paper within larger debates around the role of agency in path dependence theorizing, and we outline research frontiers to better understand the necessary antecedents of and exact relationship between mechanisms interruption and pattern unwinding. PubDate: 2020-07-04
Abstract: Abstract Across industries, firms face the need to digitalize their service processes, i.e., transform the service delivery from a physical into a digital form or enhance it through digital technologies. Therefore, one important challenge can arise due to the inseparability of service processes, which describes the necessity for a customer to consume a service the moment which a service provider produces it. Since existing research has failed to examine inseparability as a predictor of service digitalization, this study aims to explore whether inseparability hinders the digitalization of service processes and whether internal support in form of innovation culture and external support from third parties can help to mitigate the influence of inseparability. Data from an online survey of 204 German service employees and managers confirm our hypotheses. These results demonstrate to practitioners that although it may be more difficult to digitalize service processes due to their inseparability, firms may rely on internal and external support for innovation to overcome this challenge. PubDate: 2020-07-04
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