Data capital can boost global productivity growth

Subject The rise of data capital. Significance The importance of data to business decision-making and opportunity-finding has been touted in recent years. Nevertheless, many companies fail to realise the value of this asset, even as they sit on great stores of data. A recent survey of 180 large firms found that those using 'data-driven decision-making' see a 5-6% increase in output and productivity over corporations that do not make full use of data. Intangible assets make up 84.0% of the market value of S&P 500 companies, up 9.5% from ten years earlier, according to Ocean Tomo, an intellectual property bank. This trend is set to accelerate. Impacts Firms that are unprepared to take advantage of data as a strategic asset could lose their dominance. Incumbent firms able to keep competencies around data, including technological and human capital, could avoid disruption by newcomers. If able to do so, incumbent firms could keep a competitive advantage in the short and longer term. New firms failing to use data to drive strategic decisions may face challenges in attempts to grow.

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rebecca Wolf ◽  
Joseph M. Reilly ◽  
Steven M. Ross

PurposeThis article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.Design/methodology/approachA literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.FindingsFindings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.Practical implicationsGiven the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.Originality/valueThis article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.


The Winners ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 57
Author(s):  
Mochamad Sandy Triady ◽  
Ami Fitri Utami

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.


2017 ◽  
Vol 55 (10) ◽  
pp. 2074-2088 ◽  
Author(s):  
Jane Elisabeth Frisk ◽  
Frank Bannister

Purpose Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order to achieve such improvements managers need to change their decision-making culture and to increase the degree of collaboration in the decision-making process. The purpose of this paper is to create an increased understanding of how a decision-making culture can be changed by using a design approach. Design/methodology/approach The paper presents an action research project in which the authors use a design approach. Findings By adopting a design approach organizations can change their decision-making culture, increase the degree of collaboration and also reduce the influence of power and politics on their decision-making. Research limitations/implications This paper proposes a new approach to changing a decision-making culture. Practical implications Using data analytics and big data, a design approach can support organizations change their decision-making culture resulting in better and more effective decisions. Originality/value This paper bridges design and decision-making theory in a novel approach to an old problem.


2019 ◽  
Vol 49 (4) ◽  
pp. 531-545 ◽  
Author(s):  
Jay Liebowitz ◽  
Yolande Chan ◽  
Tracy Jenkin ◽  
Dylan Spicker ◽  
Joanna Paliszkiewicz ◽  
...  

Purpose In the business and data analytics community, intuition has not been discussed widely in terms of its application to executive decision-making. However, the purpose of this paper is to focus on new global research that combines intuition, trust and analytics in terms of how well C-level executives trust their intuition. Design/methodology/approach Our Fulbright research, as described in this paper and performed by colleagues from the United States, Canada, Poland and Italy, examines executives’ as well as other less experienced employees’ preferences for different types of intuition versus data analysis. This study set out to better understand the degree to which executives prefer intuition versus analysis and the relationship between these approaches to decision-making. Our research combines elements of a review, a cross-cultural/cross-company survey study and a biometrics study in interoception. The research team has a multidisciplinary background in business, information technology, strategy, trust management, statistics and neuroscience. Findings Based on our research, the main findings are as follows. The use of and preference for intuition types change as employees gain more experience. However, there may be intuition styles that are more static and trait-like, which are linked to roles, differentiating managers from leaders. Using “inferential intuition” and “seeing the big picture” go hand in hand. Listening to your body signals can promote improved intuition. Cross-cultural differences may impact executive decision-making. Executives often prefer to use their intuition over analysis/analytics. Research limitations/implications This research could be expanded to have a larger sample size of C-level executives. We had 172 responses with 65% C-level executives and 12% directors. However, a recent survey by the Economist Intelligence Unit on intuition used by executives had a sample of 174 executives around the world, which is comparable with our sample size. Practical implications From our research, executives should continue to apply their experiential learning through intuition to complement their use of data in making strategic decisions. We have often discounted the use of intuition in executive decision-making, but our research highlights the importance of making it a critical part of the executive decision-making process. Originality/value Based on the results of our survey and biometrics research, executives apply their intuition to gain greater confidence in their decision-making. Listening to their body signals can also improve their intuitive executive awareness. This complements their use of data and analytics when making executive decisions.


2016 ◽  
Vol 117 (1/2) ◽  
pp. 131-134 ◽  
Author(s):  
Bruce Massis

Purpose – The purpose of this paper is to describe the current environment for libraries to consider the value of using data to support decision-making. Design/methodology/approach – This paper contains literature review and commentary on this topic that has been addressed by professionals, researchers and practitioners. Findings – In developing a library’s strategic direction, it is essential that evidentiary data be referenced to supplement the organization’s rationale for decision-making. There is an expectation by stakeholders that libraries are able to generate reports and decisions based on aggregated data for in-demand reporting. Therefore, capturing, analyzing and reporting decisions based on data are indispensable in today’s libraries. Originality/value – The value in addressing this topic is to examine the option by libraries to use data to support data-driven decision-making.


2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.


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.


2015 ◽  
Vol 8 (2/3) ◽  
pp. 262-283 ◽  
Author(s):  
Alona Mykhaylenko ◽  
Ágnes Motika ◽  
Brian Vejrum Waehrens ◽  
Dmitrij Slepniov

Purpose – The purpose of this paper is to advance the understanding of factors that affect offshoring performance results. To do so, this paper focuses on the access to location-specific advantages, rather than solely on the properties of the offshoring company, its strategy or environment. Assuming that different levels of synergy may exist between particular offshoring strategic decisions (choosing offshore outsourcing or captive offshoring and the type of function) and different offshoring advantages, this work advocates that the actual fact of realization of certain offshoring advantages (getting or not getting access to them) is a more reliable predictor of offshoring success. Design/methodology/approach – A set of hypotheses derived from the extant literature is tested on the data from a quantitative survey of 1,143 Scandinavian firms. Findings – The paper demonstrates that different governance modes and types of offshored function indeed provide different levels of access to different types of location-specific offshoring advantages. This difference may help to explain the ambiguity of offshoring initiatives performance results. Research limitations/implications – Limitations of the work include using only the offshoring strategy elements and only their limited variety as factors potentially influencing access to offshoring advantages. Also, the findings are limited to Scandinavian companies. Originality/value – The paper introduces a new concept of access, which can help to more reliably predict performance outcomes of offshoring initiatives. Recommendations are also provided to practitioners dealing with offshoring initiatives.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Li ◽  
Limin Su ◽  
Jian Zuo ◽  
Xiaowei An ◽  
Guanghua Dong ◽  
...  

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.


Sign in / Sign up

Export Citation Format

Share Document