Towards Design Principles for Data-Driven Decision Making: An Action Design Research Project in the Maritime Industry

Data-driven decision making (DDD) refers to organizational decision-making practices that emphasize the use of data and statistical analysis instead of relying on human judgment only. Various empirical studies provide evidence for the value of DDD, both on individual decision maker level and the organizational level. Yet, the path from data to value is not always an easy one and various organizational and psychological factors mediate and moderate the translation of data-driven insights into better decisions and, subsequently, effective business actions. The current body of academic literature on DDD lacks prescriptive knowledge on how to successfully employ DDD in complex organizational settings. Against this background, this paper reports on an action design research study aimed at designing and implementing IT artifacts for DDD at one of the largest ship engine manufacturers in the world. Our main contribution is a set of design principles highlighting, besides decision quality, the importance of model comprehensibility, domain knowledge, and actionability of results

Visual analytics for supply network management: system design and evaluation

We propose a visual analytic system to augment and enhance decision-making processes of supply chain managers. Several design requirements drive the development of our integrated architecture and lead to three primary capabilities of our system prototype. First, a visual analytic system must integrate various relevant views and perspectives that highlight different structural aspects of a supply network. Second, the system must deliver required information on-demand and update the visual representation via user-initiated interactions. Third, the system must provide both descriptive and predictive analytic functions for managers to gain contingency intelligence. Based on these capabilities we implement an interactive web-based visual analytic system. Our system enables managers to interactively apply visual encodings based on different node and edge attributes to facilitate mental map matching between abstract attributes and visual elements. Grounded in cognitive fit theory, we demonstrate that an interactive visual system that dynamically adjusts visual representations to the decision environment can significantly enhance decision-making processes in a supply network setting. We conduct multi-stage evaluation sessions with prototypical users that collectively confirm the value of our system. Our results indicate a positive reaction to our system. We conclude with implications and future research opportunities.The authors would like to thank the participants of the 2015 Businessvis Workshop at IEEE VIS, Prof. Benoit Montreuil, and Dr. Driss Hakimi for their valuable feedback on an earlier version of the software; Prof. Manpreet Hora for assisting with and Georgia Tech graduate students for participating in the evaluation sessions; and the two anonymous reviewers for their detailed comments and suggestions. The study was in part supported by the Tennenbaum Institute at Georgia Tech Award # K9305. (K9305 - Tennenbaum Institute at Georgia Tech Award)Accepted manuscrip

Mechanisms of Inequality: Unequal Access to Organizational Power and the Gender Wage Gap

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Legally Defensible vs. Organizationally Sensible: Avoiding Legal-Centric Employment Decision Making

Managers and human resource professionals express grave concern about the increasing influence that the law and lawyers are having on their ability to manage employees effectively. Blame is typically placed on growing governmental regulation of the employment relationship, a “litigation mentality” among workers, and overly aggressive lawyers pursuing selfish interests. Much less common, however, is attention focused on the role that organizational decision makers play in contributing to the perceived problem. This article is intended to help address that limitation by alerting managers to the likelihood that they are unnecessarily contributing to the impact of legal considerations on the management of employees as a result of “legal-centric decision making”, and by providing information and guidance that will assist them in formulating better informed, more strategic responses to employment issues that have potential legal implications. Keys to implementing the strategic approach are identified and discussed, and the approach is illustrated by applying it to a decision that American employers continue to confront: how to respond to the eroding employment at-will doctrine. The analysis strongly suggests that the extent of the law’s negative influence on the management of employees can be moderated significantly if organizational decision makers recognize their contribution to “the problem”, focus on what is organizationally sensible rather than what is perceived to be legally defensible, and adopt a more strategic (less legal-centric) approach to the challenges posed by employment decisions that raise legal concerns

Trade-Off Time: How Four States Continue to Deliver

Highlights performance measures used in Indiana, Maryland, Utah, and Virginia to ensure results-driven budgeting by defining goals, assessing priorities and trade-offs, targeting cuts with precision, and creating a culture of results-focused budgeting

Organizationally Sensible vs. Legal-Centric Approaches to Employment Decisions With Legal Implications

This article is intended to: 1) alert human resource (HR) professionals to the risk that they, and the managers they serve, are unnecessarily contributing to the impact of legal considerations on the management of employees as a result of “legal-centric decision making”; and 2) provide information and guidance that will assist HR professionals in promoting better informed, more organizationally sensible responses to employment issues that have potential legal implications. The “legal-centric decision making” construct is introduced and illustrated, a model of the primary factors contributing to legal-centric decision making is presented, and keys to avoiding legal-centric decision making are identified and discussed

A framework for the adoption and diffusion of Personal Learning Environments in commercial organisations: an exploratory study in the learning and development sector in the UK

This study presents an exploratory approach to identify the main factors of Personal Learning Environment (PLE) adoption and diffusion within commercial organisations. Utilising an inductive investigative approach via the use of Grounded Theory methodology, relevant adoption factors were identified and their resulting influence during various stages of the innovation diffusion process were proposed. Data was collected using semi-structured interviews followed by systematic analysis using a three-staged coding process. The results revealed 10 factors affecting the adoption of PLEs influencing the innovation diffusion process at various stages. Informed by the Technology Acceptance Model and Innovation Diffusion Theory, the proposed model could have important implications for key decision makers within commercial organisations, while adopting, rejecting and assimilating new technological innovations (e.g. PLE) for learning delivery

The Benefits of Improved Environmental Accounting: An Economic Framework to Identify Priorities

Improved environmental accounting is increasingly seen by corporate managers and environmental advocates alike as a necessary complement to improved environmental decision-making within the private sector. This paper develops an economic approach to the evaluation of environmental accounting's benefits and derives the value, and determinants, of improved accounting information in several production and capital budgeting contexts. Using concepts from managerial economics, finance, and organizational theory, the analysis identifies the types of environmental accounting improvement that are most likely to yield significant financial and environmental benefits.