scholarly journals Using analytics to inform category management and strategic sourcing

2017 ◽  
Vol 1 (2) ◽  
pp. 151-171 ◽  
Author(s):  
Karen A.F. Landale ◽  
Aruna Apte ◽  
Rene G. Rendon ◽  
Javier Salmerón
Keyword(s):  
Small Business ◽  
Data Analytics ◽  
Solid Waste Management ◽  
Management Strategies ◽  
Cost Savings ◽  
Variable Number ◽  
Category Management ◽  
Potential Cost ◽  
Content Type ◽  
The Impact

Purpose The purpose of this paper is to show how data analytics can be used to identify areas of potential cost savings for category managers of installation-level services. Using integrated solid waste management (ISWM) as a test case, the authors also examine the impact of small business set-asides on price and contractor performance. Design/methodology/approach The authors use data analytics, specifically sequential regression, the Wilcoxon rank-sum test and ordered logistic regression to investigate the influence of service- and contracting-related variables on price and contractor performance. Findings The authors find that service- and contracting-related variables influence price. Specifically, they identify that a service-related variable, number of containers, significantly affects price, and that two contracting-related variables, one type of small business set-aside and the number of offers received, also significantly affect price. The authors quantify the price premiums paid for using various types of small business set-asides. Research limitations/implications Although the findings were significant, the authors believe that the robustness of the conclusions could be enhanced if the Air Force captured more data. Additional observations would increase the generalizability of the results. Practical implications This empirical experiment demonstrates that detailed analyses are required to gain insights into services’ price drivers to craft more appropriate category management strategies for installation-level services. Originality/value This empirical study shows how historical data can be used to assess price drivers of installation-level services. It is also one of the first to quantify the impact that small business set-asides have on price.

Strategic adaptation: leadership lessons for small business survival and success

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emmanuel Quansah ◽  
Dale E. Hartz
Keyword(s):  
Small Business ◽  
Time Management ◽  
Peer Group ◽  
Management Strategies ◽  
Constructivist Grounded Theory ◽  
Theory Approach ◽  
Content Type ◽  
Strategic Adaptation ◽  
Business Environments ◽  
The Impact

PurposeApproximately half of all new businesses fail within the first five years of operation. This study was undertaken to understand the behavior of small business (SB) leaders, including their decision-making processes and adaptive leadership practices that enable their organizations to survive during periods of general crisis and intense competition.Design/methodology/approachIn order to understand the lived experiences of our research participants, a constructivist grounded theory approach was used. Thirty-two CEOs and leaders from fifteen organizations were interviewed.FindingsIt was determined that successful SB leaders avoid organizational complacency by being continuous learners, who are agile and flexible in determining appropriate management strategies. Additionally, they leverage time management processes, build strong and productive relationship networks and create positive family-oriented workplace cultures to increase their odds of survival.Research limitations/implicationsThis qualitative study was limited to interviews, observations and analysis of organizational archetypes; therefore, the authors can establish a pattern in behavior but cannot make a causality claim.Practical implicationsThe findings provide SB leaders with effective concepts, practices and strategies from members of their peer group, which they can test, refine and implement.Social implicationsThe impact of business failures is often devastating financially and emotionally for the families and employees involved. Learning methods for strategic adaptation that may help avoid business closures could provide a positive societal contribution.Originality/valueThere is little empirical research about how SBs strategically adapt during challenging periods. This study helps fill that gap and provides an understanding of how SB leaders adapt to continuous challenges, create value and remain competitive in difficult business environments.

Does the second wave of COVID-19 undermine corporate immunity? International evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huy Viet Hoang ◽  
Cuong Nguyen ◽  
Khanh Hoang
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Fixed Effects ◽  
Management Strategies ◽  
The United States ◽  
Least Square ◽  
Content Type ◽  
The Impact ◽  
Second Wave ◽  
Practical Implications

PurposeThis study compares the impact of the COVID-19 pandemic on stock returns in the first two waves of infection across selected markets, given built-in corporate immunity before the global outbreak.Design/methodology/approachThe data are collected from listed firms in five markets that have experienced the second wave of COVID-19 contagion, namely the United States (US), Australia, China, Hong Kong and South Korea. The period of investigation in this study ranges from January 24 to August 28, 2020 to cover the first two COVID-19 waves in selected markets. The study estimates the research model by employing the ordinary least square method with fixed effects to control for the heterogeneity that may confound the empirical outcomes.FindingsThe analysis reveals that firms with larger size and more cash reserves before the COVID-19 outbreak have better stock performance under the first wave; however, these advantages impede stock resilience during the second wave. Corporate governance practices significantly influence stock returns only in the first wave as their effects fade when the second wave emerges. The results also suggest that in economies with greater power distance, although stock price depreciation was milder in the first wave, it is more intense when new cases again surge after the first wave was contained.Practical implicationsThis paper provides practical implications for corporate managers, policymakers and governments concerning crisis management strategies for COVID-19 and future pandemics.Originality/valueThis study is the first to evaluate built-in corporate immunity before the COVID-19 shock under successive contagious waves. Besides, this study accentuates the importance of cultural understanding in weathering the ongoing pandemic across different markets.

An experimental investigation of the impact of using big data analytics on customers’ performance measurement

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Marwa Rabe Mohamed Elkmash ◽  
Magdy Gamal Abdel-Kader ◽  
Bassant Badr El Din
Keyword(s):  
Big Data ◽  
Performance Measurement ◽  
Data Analytics ◽  
Positive Impact ◽  
Big Data Analytics ◽  
Unstructured Data ◽  
Future Research ◽  
Web Based ◽  
Content Type ◽  
The Impact

Purpose This study aims to investigate and explore the impact of big data analytics (BDA) as a mechanism that could develop the ability to measure customers’ performance. To accomplish the research aim, the theoretical discussion was developed through the combination of the diffusion of innovation theory with the technology acceptance model (TAM) that is less developed for the research field of this study. Design/methodology/approach Empirical data was obtained using Web-based quasi-experiments with 104 Egyptian accounting professionals. Further, the Wilcoxon signed-rank test and the chi-square goodness-of-fit test were used to analyze data. Findings The empirical results indicate that measuring customers’ performance based on BDA increase the organizations’ ability to analyze the customers’ unstructured data, decrease the cost of customers’ unstructured data analysis, increase the ability to handle the customers’ problems quickly, minimize the time spent to analyze the customers’ data and obtaining the customers’ performance reports and control managers’ bias when they measure customer satisfaction. The study findings supported the accounting professionals’ acceptance of BDA through the TAM elements: the intention to use (R), perceived usefulness (U) and the perceived ease of use (E). Research limitations/implications This study has several limitations that could be addressed in future research. First, this study focuses on customers’ performance measurement (CPM) only and ignores other performance measurements such as employees’ performance measurement and financial performance measurement. Future research can examine these areas. Second, this study conducts a Web-based experiment with Master of Business Administration students as a study’s participants, researchers could conduct a laboratory experiment and report if there are differences. Third, owing to the novelty of the topic, there was a lack of theoretical evidence in developing the study’s hypotheses. Practical implications This study succeeds to provide the much-needed empirical evidence for BDA positive impact in improving CPM efficiency through the proposed framework (i.e. CPM and BDA framework). Furthermore, this study contributes to the improvement of the performance measurement process, thus, the decision-making process with meaningful and proper insights through the capability of collecting and analyzing the customers’ unstructured data. On a practical level, the company could eventually use this study’s results and the new insights to make better decisions and develop its policies. Originality/value This study holds significance as it provides the much-needed empirical evidence for BDA positive impact in improving CPM efficiency. The study findings will contribute to the enhancement of the performance measurement process through the ability of gathering and analyzing the customers’ unstructured data.

scholarly journals Examining the spatial relationship between environmental health factors and house prices

2018 ◽  
Vol 11 (3) ◽  
pp. 353-398 ◽  
Author(s):  
Michael J. McCord ◽  
Sean MacIntyre ◽  
Paul Bidanset ◽  
Daniel Lo ◽  
Peadar Davis
Keyword(s):  
Air Quality ◽  
Environmental Quality ◽  
House Prices ◽  
Management Strategies ◽  
Noise Pollution ◽  
Well Being ◽  
Spatial Modelling ◽  
Content Type ◽  
The Impact ◽  
Health And Well Being

Purpose Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place. Design/methodology/approach A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM). Findings The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source. Originality/value Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

Understanding the internal audit function in a digitalised business environment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nathanaël Betti ◽  
Gerrit Sarens
Keyword(s):  
Data Analytics ◽  
New Technologies ◽  
Internal Audit ◽  
Business Environment ◽  
Future Research ◽  
The European Union ◽  
Content Type ◽  
Internal Auditors ◽  
Internal Audit Function ◽  
The Impact

Purpose This paper aims to gain an in-depth understanding of how the internal audit function evolves in an increasingly digitalised business environment. Design/methodology/approach This paper is based on 29 semi-structured interviews with members of management committees and internal auditors based in Belgium. Findings The analysis reveals that a digitalised business environment affects the internal audit function in three respects. First, it impacts its scope. The agility of the internal audit planning and the required digital knowledge are expected to increase and information technology (IT) risks gain importance, especially cybersecurity threats. Second, the demand for consulting activities performed by internal auditors is higher and third, digitalisation modifies the working practices of internal auditors in their day-to-day tasks. New technologies such as data analytics tools are being implemented progressively in internal audit departments and digital skills are considered a critical asset. Research limitations/implications This research was conducted in the European Union and gathers opinions of members of management committees and internal auditors. Future research could focus on other internal auditing stakeholders in other legal contexts. Practical implications The internal audit function needs to integrate IT and data analytics skills. In addition, the internal audit function should develop consulting activities to help organisations deal with the digitalisation of the business environment. Originality/value The impact of digitalisation on the internal audit function and its effect on internal audit practices is an underexplored area.

scholarly journals Mixed methods evaluation of a hospital group model using an embedded research approach: study protocol

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e027086
Author(s):  
Cecilia Vindrola-Padros ◽  
Estela Capelas Barbosa ◽  
Angus I G Ramsay ◽  
Simon Turner ◽  
Stephen Morris ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Study Protocol ◽  
Cost Savings ◽  
Ethics Committee ◽  
Research Approach ◽  
Group Model ◽  
Potential Cost ◽  
Mixed Methods Evaluation ◽  
The Impact ◽  
Hospital Group

IntroductionHospital group models represent an organisational form that aims to bring together multiple provider organisations with a central headquarters and unified leadership responsible for locally managed operating units, standardised systems and a value-set shared across the group. These models seek to improve outcomes by reducing unwarranted variations in care provision and reducing costs through economies of scale. There is limited evidence on the impact and processes of implementing these models, so this study aims to evaluate one case study of a hospital group model.Methods and analysisWe will conduct a formative, mixed-methods evaluation using an embedded research approach to analyse the implementation of the model and its impact on outcomes and costs. We will carry out a multisited ethnography to analyse the programme theory for model design and implementation, the barriers and facilitators in the implementation; and wider contextual issues that influence implementation using semi-structured interviews (n=80), non-participant observations (n=80 hours), ‘shadowing’ (n=20 hours) and documentary analysis. We will also carry out an economic evaluation composed of a cost-consequence analysis and a return on investment analysis to evaluate the costs of creating and running the model and balance these against the potential cost-savings.Ethics and disseminationThe study protocol was reviewed by the local R&D Office and University College London Ethics Committee and classified as a service evaluation, not requiring approval by a research ethics committee. We will follow guidelines for informed consent, confidentiality and information governance, and address issues of critical distance prevalent in embedded research. Findings will be shared at regular time points to inform the implementation of the model. The evaluation will also generate: an evaluation framework to evaluate future changes; recommendations for meaningful baseline data and measuring improvement; identification of implementation costs and potential cost-savings; and lessons for the National Health Service on implementing these models.

The influence of big data analytics management capabilities on supply chain preparedness, alertness and agility

2019 ◽  
Vol 32 (2) ◽  
pp. 297-318 ◽  
Author(s):  
Santanu Mandal
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Supply Chain ◽  
Data Analytics ◽  
Investment Decision ◽  
Big Data Analytics ◽  
Content Type ◽  
Investment Decision Making ◽  
Management Capabilities ◽  
The Impact

Purpose The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility. Design/methodology/approach The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation. Findings Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions. Originality/value The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

Municipal solid waste generation, composition, and management: the global scenario

2020 ◽  
Vol 16 (6) ◽  
pp. 917-948
Author(s):  
Kapil Dev Sharma ◽  
Siddharth Jain
Keyword(s):  
Waste Management ◽  
Municipal Solid Waste ◽  
Solid Waste ◽  
Solid Waste Management ◽  
Management Strategies ◽  
Technology Selection ◽  
Waste Generation ◽  
Content Type ◽  
The World ◽  
Solid Waste Generation

Purpose Due to the increasing population and prosperity, the generation rate of municipal solid waste (MSW) has increased significantly, resulting in serious problems on public health and the environment. Every single person in the world is affected by the municipal solid waste management (MSWM) issue. MSWM is reaching a critical level in almost all areas of the world and seeking the development of MSW strategies for a sustainable environment. This paper aims to present the existing global status of MSW generation, composition, management and related problems. Design/methodology/approach A total of 59 developed and developing countries have been grouped based on their gross national income to compare the status of various MSWM technologies among them. A total of 19 selection criteria have been discussed to select appropriate MSWM technology(s) for a city/town, which affects their applicability, operational suitability and performance. All risks and challenges arising during the life cycle of the waste to energy (WtE) project have also been discussed. This paper also gives a comparative overview of different globally accepted MSWM technologies and the present market growth of all WtE technologies. Findings It was found that most developed countries have effectively implemented the solid waste management (SWM) hierarchy and are now focusing heavily on reducing, reusing and recycling of MSW. On the other hand, SWM has become very serious in low-income and low-middle-income countries because most of the MSW openly dumps and most countries are dependent on inadequate waste infrastructure and the informal sector. There are also some other major challenges related to effective waste policies, availability of funds, appropriate technology selection and adequacy of trained people. This study clears the picture of MSW generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented. Originality/value This study clears the picture of solid waste generation, composition, management strategies and policies at the worldwide context. This manuscript could be valuable for all nations around the world where effective MSWM has not yet been implemented. In this study, no data was generated. All supporting data were obtained from previously published papers in journals, the outcomes of the international conferences and published reports by government organizations.

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexander Schlegel ◽  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Single Case ◽  
Big Data Analytics ◽  
Business Planning ◽  
Operations Planning ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

scholarly journals Are international small business owners really that different?

2019 ◽  
Vol 27 (1) ◽  
pp. 92-117
Author(s):  
Sarah Gundlach ◽  
Andre Sammartino
Keyword(s):  
Small Business ◽  
Small Businesses ◽  
Business Owners ◽  
Small Business Owners ◽  
Female Entrepreneurs ◽  
Content Type ◽  
Individual Traits ◽  
Tolerance For Ambiguity ◽  
The Impact ◽  
Do So

Purpose The purpose of this paper is to investigate the impact of individual traits and attributes on the entrepreneurial and internationalization actions of Australian businesswomen, many of whom run small businesses. Design/methodology/approach This study is exploratory and quantitative, based on a questionnaire survey of 323 Australian businesswomen. Drawing upon the extant literature on internationalization, gender and entrepreneurship, the study explores two micro-foundational relationships of interest – personality and capability assessment differences between female business owners and their employed counterparts, and the impact of such traits and assessments on their internationalization. A further question is explored in terms of any differentials in perceptions of barriers in internationalization. Findings The findings show key personality dimensions do not differ dramatically between Australian businesswomen working in their own businesses (i.e. entrepreneurs) or as employees in organizations, while there are surprisingly few differences between women who are engaged internationally and those yet to do so. When comparing the female entrepreneurs and employees, in particular, the findings around tolerance for ambiguity and management efficacy are notably counterintuitive. This leads to the development of testable propositions to refine the causal claims in this domain. Practical implications The study calls into question the distinctiveness of entrepreneurs and entrepreneurial endeavors, at least for female businesswomen. Originality/value By including entrepreneurs and employees, women who have engaged internationally and those that are yet to do so, the study avoids some of the potential self-selection and confirmation biases inherent in studies of only entrepreneurs or small business owners. The investigation of individual traits, attributes and experiences as micro-foundations for internationalization motivations challenges existing theories of small business expansion.

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