A big data analytics based methodology for strategic decision making

2020 ◽  
Vol 33 (6) ◽  
pp. 1467-1490 ◽  
Author(s):  
Murat Özemre ◽  
Ozgur Kabadurmus

PurposeThe purpose of this paper is to present a novel framework for strategic decision making using Big Data Analytics (BDA) methodology.Design/methodology/approachIn this study, two different machine learning algorithms, Random Forest (RF) and Artificial Neural Networks (ANN) are employed to forecast export volumes using an extensive amount of open trade data. The forecasted values are included in the Boston Consulting Group (BCG) Matrix to conduct strategic market analysis.FindingsThe proposed methodology is validated using a hypothetical case study of a Chinese company exporting refrigerators and freezers. The results show that the proposed methodology makes accurate trade forecasts and helps to conduct strategic market analysis effectively. Also, the RF performs better than the ANN in terms of forecast accuracy.Research limitations/implicationsThis study presents only one case study to test the proposed methodology. In future studies, the validity of the proposed method can be further generalized in different product groups and countries.Practical implicationsIn today’s highly competitive business environment, an effective strategic market analysis requires importers or exporters to make better predictions and strategic decisions. Using the proposed BDA based methodology, companies can effectively identify new business opportunities and adjust their strategic decisions accordingly.Originality/valueThis is the first study to present a holistic methodology for strategic market analysis using BDA. The proposed methodology accurately forecasts international trade volumes and facilitates the strategic decision-making process by providing future insights into global markets.

2014 ◽  
Vol 7 (3) ◽  
pp. 226-250 ◽  
Author(s):  
Said Elbanna ◽  
Ioannis C. Thanos ◽  
Vassilis M. Papadakis

Purpose – The purpose of this paper is to enhance the knowledge of the antecedents of political behaviour. Whereas political behaviour in strategic decision-making (SDM) has received sustained interest in the literature, empirical examination of its antecedents has been meagre. Design/methodology/approach – The authors conducted a constructive replication to examine the impact of three layers of context, namely, decision, firm and environment, on political behaviour. In Study 1, Greece, we gathered data on 143 strategic decisions, while in Study 2, Egypt, we collected data on 169 strategic decisions. Findings – The evidence suggests that both decision-specific and firm factors act as antecedents to political behaviour, while environmental factors do not. Practical implications – The findings support enhanced practitioner education regarding political behaviour and provide practitioners with a place from which to start by identifying the factors which might influence the occurrence of political behaviour in SDM. Originality/value – The paper fills important gaps in the existing research on the influence of context on political behaviour and delineates interesting areas for further research.


2019 ◽  
Vol 41 (3) ◽  
pp. 57-65 ◽  
Author(s):  
Hannu Kuusela ◽  
Siiri Koivumäki ◽  
Mika Yrjölä

Purpose The purpose of this paper is to analyze the use of intuition in successful merger and acquisition (M&A) decisions. M&As are strategic decisions that can create growth, open up new markets and strengthen the company’s position and competence portfolio. Strategic decisions involve, by their very nature, considerable investments and have company-wide and long-lasting implications. At the same time, the decision-makers have access to large amounts of data from various sources, but these data are often uncertain and inaccurate and entail numerous assumptions. Therefore, M&A decisions are only rational to a degree, and emotional elements, such as intuition, likely play a significant role. Design/methodology/approach Acknowledging how critically important, but also how difficult, M&As are, the authors analyzed nine instances (cases) of successful acquisitions, in which the executives believed that the role of intuition was critical. Findings The findings show that intuition in strategic decision-making emerges on three levels: individual, collective and environmental. Practical implications This paper encourages top executives to proactively acknowledge and take advantage of intuition in their strategic decision-making. It proposes a framework to help with these endeavors. Originality/value This paper contributes by highlighting that intuition is not just a factor on an individual level; it can also surface from group interactions as well as the environment. Surprisingly, all the executives interviewed spoke of the positive effects that intuition can have on acquisition decisions. This is in contrast to the dominant view that considers intuition as nonrational and even as a form of bias.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maqsood Ahmad ◽  
Syed Zulfiqar Ali Shah ◽  
Yasar Abbass

PurposeThis article aims to clarify the mechanism by which heuristic-driven biases influence the entrepreneurial strategic decision-making in an emerging economy.Design/methodology/approachEntrepreneurs' heuristic-driven biases have been measured using a questionnaire, comprising numerous items, including indicators of entrepreneurial strategic decision-making. To examine the relationship between heuristic-driven biases and entrepreneurial strategic decision-making process, a 5-point Likert scale questionnaire has been used to collect data from the sample of 169 entrepreneurs who operate in small- and medium-sized enterprises (SMEs). The collected data were analyzed using SPSS and Amos graphics software. Hypotheses were tested using structural equation modeling (SEM) technique.FindingsThe article provides empirical insights into the relationship between heuristic-driven biases and entrepreneurial strategic decision-making. The results suggest that heuristic-driven biases (anchoring and adjustment, representativeness, availability and overconfidence) have a markedly negative influence on the strategic decisions made by entrepreneurs in emerging markets. It means that heuristic-driven biases can impair the quality of the entrepreneurial strategic decision-making process.Practical implicationsThe article encourages entrepreneurs to avoid relying on cognitive heuristics or their feelings when making strategic decisions. It provides awareness and understanding of heuristic-driven biases in entrepreneurial strategic decisions, which could be very useful for business actors such as entrepreneurs, managers and entire organizations. Understanding regarding the role of heuristic-driven biases in entrepreneurial strategic decisions may help entrepreneurs to improve the quality of their decision-making. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in a more appropriate selection of entrepreneurial opportunities.Originality/valueThe current study is the first to focus on links between heuristic-driven bias and the entrepreneurial strategic decision-making in Pakistan—an emerging economy. This article enhanced the understanding of the role that heuristic-driven bias plays in the entrepreneurial strategic decisions and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on entrepreneurial strategic decision-making in an emerging market. It also adds to the literature in the area of entrepreneurial management specifically the role of heuristics in entrepreneurial strategic decision-making; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.


2017 ◽  
Vol 21 (1) ◽  
pp. 71-91 ◽  
Author(s):  
Ali Intezari ◽  
Simone Gressel

Purpose The purpose of this paper is to provide a theoretical framework of how knowledge management (KM) systems can facilitate the incorporation of big data into strategic decisions. Advanced analytics are becoming increasingly critical in making strategic decisions in any organization from the private to public sectors and from for-profit companies to not-for-profit organizations. Despite the growing importance of capturing, sharing and implementing people’s knowledge in organizations, it is still unclear how big data and the need for advanced analytics can inform and, if necessary, reform the design and implementation of KM systems. Design/methodology/approach To address this gap, a combined approach has been applied. The KM and data analysis systems implemented by companies were analyzed, and the analysis was complemented by a review of the extant literature. Findings Four types of data-based decisions and a set of ground rules are identified toward enabling KM systems to handle big data and advanced analytics. Practical implications The paper proposes a practical framework that takes into account the diverse combinations of data-based decisions. Suggestions are provided about how KM systems can be reformed to facilitate the incorporation of big data and advanced analytics into organizations’ strategic decision-making. Originality/value This is the first typology of data-based decision-making considering advanced analytics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Avo Schönbohm ◽  
Tingyue Viktoria Zhang

PurposeThis research seized the COVID-19 pandemic-induced economic recession as a strategic response background to answer whether serious games (SGs) can be effectively applied to facilitate the strategic decision-making process.Design/methodology/approachThis paper develops a conceptual model and hypotheses based on the strategic formulation and SGs literature. Virtual-gamified workshops treat four companies in a quasi-experimental framework applying an action research design approach. The data were analysed triangularly from the observations, the focus group interviews and the surveys.FindingsA SG facilitates conveying conceptual recession management knowledge and structures the decision-making process. It incentivises creativity and motivation. Meanwhile, it is a tool to mitigate human errors due to cognitive biases. More importantly, it offers a new means to improve strategic decision-making adapted to different cases. The variety of game elements expands possibilities for different needs.Originality/valueThis paper creatively bridges the gap between strategic decision facilitation and serious gaming in a crisis. It contributes a conceptual model and provides practical insights into SGs mechanics for companies.


2016 ◽  
Vol 54 (7) ◽  
pp. 1595-1614 ◽  
Author(s):  
Thomas G Pittz ◽  
Terry Adler

Purpose – Collaborations and partnerships that span economic sectors heighten the complexity of decision-making processes and introduce challenges for structuring collective action. As hybrid organizations designed for cooperation, multi-sector partnerships involving firms from the private, public, and nonprofit industries are more likely to utilize a platform of open strategy than their single-sector counterparts. Through studying the decision-making process of multi-sector partnerships, the purpose of this paper is to suggest that the formative extra-organizational boundary conditions of these partnerships create fertile ground for a platform of open strategy. Design/methodology/approach – This manuscript presents a thorough analysis of the literature regarding multi-sector partnerships and the construct of open strategy to consider the importance of goal interdependence and strategic openness in the strategic decision-making process. The combination of these research streams results in a theoretical model of open strategy to be validated in the multi-sector partnership context. Findings – Partnerships that span multiple market sectors (multi-sector partnerships (MSPs)) are often founded on cooperation as opposed to competition and this fundamental distinction impacts organizational strategy and, more specifically, the manner in which strategic decisions are made. As proposed, the open strategy process model outlined in this work relies on goal interdependence, stakeholder legitimacy, participatory decision making, transparency, and inclusiveness as core components. Research limitations/implications – Future research that considers the implications of open strategy on performance and other organizational outcomes in the MSP context is warranted. Similarly, future research could ascertain the effects of open strategy on individual-level outcomes such as job satisfaction, organizational commitment, turnover, and related constructs. Additionally, later scholarship in the context of MSPs could serve to illuminate the possible effects of strategic openness on the social structures of partner organizations as well as highlight possible unintended consequences of its implementation. Practical implications – In practical terms, this research provides direction for managers of MSPs, particularly during the formative phases of collaboration. Establishing a clear recognition of interdependence toward partnership goals is demonstrated to be a valuable first step for establishing the preconditions for a platform of strategic openness. Subsequently, implementing techniques and disciplines to enhance the inclusiveness and transparency of information, to foster participation in decision making, and to recognize all stakeholders with a claim on outcomes during the strategic decision-making process combine to achieve the outcomes demonstrated by early adopters of open strategy. Social implications – This research has the potential to further the understanding of several questions arising from collaboration scholarship such as: what are the strategies and capabilities required to succeed in managing organizational forms that fuse and cross well-established public and private sector boundaries? How can public and private actors mutually learn and develop such capabilities? The authors hope that by putting forth this new model of open strategy in multi-sector social partnerships, the authors can stimulate both practice and empirical study to separate the general principles from the contingencies. The weighty social issues of the day can benefit from these efforts. Originality/value – This work links, both theoretically and conceptually, heretofore disparate streams of literature to outline a process by which strategic decisions are made in multi-sector collaborations. Traditional notions of competitive strategy have been demonstrated to be inadequate to guide theory and practice regarding the decision-making process within multi-sector collaborations. This work attempts to resolve that deficiency by considering goal interdependence and various dimensions of strategic openness (inclusiveness, transparency, stakeholder legitimacy, and participatory decision making) as aspects of cooperative strategy. The resulting model contributes to the instrumental view of stakeholder theory, the conceptual richness of the open strategy construct, and suggests a normative governance platform for multi-sector partnerships.


2016 ◽  
Vol 39 (6) ◽  
pp. 655-671 ◽  
Author(s):  
Carolina Walger ◽  
Karina De Dea Roglio ◽  
Gustavo Abib

Purpose Human resources (HR) department managers play an important role in the processes of defining and implementing organizational strategies. From this perspective, decisions made by HR managers directly influence organizations’ competitiveness. There is a gap in the literature related to decision-making processes by these managers, particularly with respect to the subjective elements involved in them. This paper’s aim is to analyze HR managers’ strategic decision-making processes from the perspective of reflective practice. Design/methodology/approach A qualitative study was conducted based on an analysis of five HR department managers’ strategic decision-making processes. Findings The results indicate that reflection-in-action is one possibility for narrowing the gap between action and reflection in management practice, as this could contribute to improving strategic decisions; HR managers’ decisions are delimited by internal and external organizational issues; and these decisions involve intensive information sharing. Research limitations/implications The results of this research contribute to extend the existing knowledge on reflection, one of the subjective elements that influences decision-making processes, and which has been identified as a subject in need of research by several authors (Eisenhardt and Zbaracki, 1992; Hambrick, 2007; Langley et al., 1995; Nutt, 2010). Practical implications A better understanding of HR managers’ decision-making processes, particularly in the Brazilian context, which other organizations can use as examples of alternative choices for HR departments strategic management. For managers, reflection-in-action facilitates an effective decision-making process, increases self-knowledge, contributes to the processes of individual and organizational learning and improves managers’ global overview of their organizations. Originality/value These results represent a development in understanding one of the subjective elements of HR department managers’ decision-making processes – reflection – and should help to improve the results of strategic decisions by these managers and by managers of other organizational departments.


2022 ◽  
Vol 9 (2) ◽  
pp. 81-94
Author(s):  
Hanaa Ouda Khadri Ahmed ◽  

Strategic decisions represent the fundamental core of the strategic planning process and strategic management in universities and they are essential in shaping the universities' policies and achieving their strategic goals. Without those strategic decisions, the universities stand unable to achieve their strategic goals and mission; therefore, specialists realized the critical importance of improving the quality of strategic decision-making in the current complex fast-changing environment that its dynamism continuously increases and which is based on the use of cutting-edge information and communications technology (ICT). Undoubtedly strategic decision-making process requires processing a huge amount of information with different robust smart methods and the extensive use of experts knowledge. There are many discussions about the uses and applications of expert systems (ESs), which are evolving rapidly in solving real problems in many fields that require experienced experts with deep sound experiences, and despite these many applications in many different fields and domains. Literature reveals that there is a scarcity of scientific research on how to employ expert systems to raise the quality of strategic decision-making processes in universities. Thus the purpose of the research is to fill this research gap by investigating how expert systems will enhance the quality of the strategic decision-making process in universities. The research design is a case study applied in Ain Shams University as a model of public universities in a developing country. This research makes a new research contribution by suggesting a futuristic proposal for improving the quality of the strategic decision-making process in universities through employing expert systems that are based on the theoretical framework of the research and the results of the field study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carine Dominguez-Péry ◽  
Rana Tassabehji ◽  
Lakshmi Narasimha Raju Vuddaraju ◽  
Vikhram Kofi Duffour

PurposeThis paper aims to explore how big data analytics (BDA) emerging technologies crossed with social media (SM). Twitter can be used to improve decision-making before and during maritime accidents. We propose a conceptual early warning system called community alert and communications system (ComACom) to prevent future accidents.Design/methodology/approachBased on secondary data, the authors developed a narrative case study of the MV Wakashio maritime disaster. The authors adopted a post-constructionist approach through the use of media richness and synchronicity theory, highlighting wider community voices drawn from social media (SM), particularly Twitter. The authors applied BDA techniques to a dataset of real-time tweets to evaluate the unfolding operational response to the maritime emergency.FindingsThe authors reconstituted a narrative of four escalating sub-events and illustrated how critical decisions taken in an organisational and institutional vacuum led to catastrophic consequences. We highlighted the specific roles of three main stakeholders (the ship's organisation, official institutions and the wider community). Our study shows that SM enhanced with BDA, embedded within our ComACom model, can better achieve collective sense-making of emergency accidents.Research limitations/implicationsThis study is limited to Twitter data and one case. Our conceptual model needs to be operationalised.Practical implicationsComACom will improve decision-making to minimise human errors in maritime accidents.Social implicationsEmergency response will be improved by including the voices of the wider community.Originality/valueComACom conceptualises an early warning system using emerging BDA/AI technologies to improve safety in maritime transportation.


2020 ◽  
Vol 98 ◽  
pp. 68-78 ◽  
Author(s):  
Aseem Kinra ◽  
Samaneh Beheshti-Kashi ◽  
Rasmus Buch ◽  
Thomas Alexander Sick Nielsen ◽  
Francisco Pereira

Sign in / Sign up

Export Citation Format

Share Document