scholarly journals Corporate Attitudes towards Big Data and Its Impact on Performance Management: A Qualitative Study

2019 ◽  
Vol 11 (3) ◽  
pp. 684 ◽  
Author(s):  
Irina Pugna ◽  
Adriana Duțescu ◽  
Oana Stănilă
Keyword(s):  
Big Data ◽  
Performance Management ◽  
Business Environment ◽  
Data Driven ◽  
Specific Reference ◽  
Senior Executives ◽  
Organizational Challenges ◽  
Critical Areas ◽  
Research Questions ◽  
The Impact

This paper investigates the organizational challenges raised by Big Data and its impact on the business environment with a focus on performance management. We investigate managers’ perceptions, understanding, and attitudes relating to Big Data and its analytics, in terms of opportunities, extent, limitations, challenges, and implications, with specific reference to performance management. The research methodology we adopt is grounded theory: we develop a reflection guide based on research questions covering the impact and challenges of a data-driven culture on business, and the impact on performance management and the decision-making process. The results obtained from senior executives from 21 Romanian companies leads to a conceptual model that distils the major areas arising from the responses and the interrelationships between them. These reveal several key areas of managerial relevance and suggest fruitful action. In particular, we find that the most critical areas requiring intervention lie in the area of awareness and understanding, goal setting, assessing benefits and limitations, learning to trust data, and commitment to an embedded data-driven culture. In addition to changes within organizations themselves, there are also implications for other stakeholders, such as education providers.

scholarly journals The Impact of Big Data on Electronic Commerce in Profit Organisations in Saudi Arabia

2019 ◽  
Vol 10 (4) ◽  
pp. 106
Author(s):  
Bader A. Alyoubi
Keyword(s):  
Saudi Arabia ◽  
Big Data ◽  
Inventory Management ◽  
New Technologies ◽  
Predictive Analytics ◽  
Business Environment ◽  
Primary Data ◽  
Research Approach ◽  
Multiple Sources ◽  
The Impact

Big Data is gaining rapid popularity in e-commerce sector across the globe. There is a general consensus among experts that Saudi organisations are late in adopting new technologies. It is generally believed that the lack of research in latest technologies that are specific to Saudi Arabia that is culturally, socially, and economically different from the West, is one of the key factors for the delay in technology adoption in Saudi Arabia. Hence, to fill this gap to a certain extent and create awareness about Big Data technology, the primary goal of this research was to identify the impact of Big Data on e-commerce organisations in Saudi Arabia. Internet has changed the business environment of Saudi Arabia too. E-commerce is set for achieving new heights due to latest technological advancements. A qualitative research approach was used by conducting interviews with highly experienced professional to gather primary data. Using multiple sources of evidence, this research found out that traditional databases are not capable of handling massive data. Big Data is a promising technology that can be adopted by e-commerce companies in Saudi Arabia. Big Data’s predictive analytics will certainly help e-commerce companies to gain better insight of the consumer behaviour and thus offer customised products and services. The key finding of this research is that Big Data has a significant impact in e-commerce organisations in Saudi Arabia on various verticals like customer retention, inventory management, product customisation, and fraud detection.

The Impact of Accounting Information Systems on Performance Management in the Banking Sector

2021 ◽  
pp. 1-15
Author(s):  
Bilal Khalid ◽  
Michal Kot
Keyword(s):  
Information Systems ◽  
Financial Performance ◽  
Performance Management ◽  
Banking Sector ◽  
Accounting Information ◽  
Business Environment ◽  
Accounting Information Systems ◽  
Management Techniques ◽  
The Impact

This study investigated the impact of Accounting Information Systems (AIS) on performance management in Thailand’s banking sector. The study was necessitated by the need to understand the financial performance of banks in Thailand in application of advanced management techniques, business developments, growth of the current contemporary business environment and the intensive competitive business environment in the banking sector.

E-Performance Systems

2011 ◽  
Vol 3 (1) ◽  
pp. 50-57
Author(s):  
Abdulaziz Al-Raisi ◽  
Saad Amin ◽  
Saad Tahir
Keyword(s):  
Performance Management ◽  
Intellectual Capital ◽  
Employee Performance ◽  
Organisational Change ◽  
Business Environment ◽  
Intangible Asset ◽  
Performance Management Systems ◽  
Tangible Asset ◽  
The Impact ◽  
A Company

Organizations are looking for solutions to manage and maximize the performance of their workforce. They recognize that there has been a shift in the business environment from a tangible asset economy to an intangible asset economy. The value of a company is comprised of employee knowledge, brand, and intellectual capital rather than inventories, goods, and machinery. As a result of this, organizations are relying on the technological solutions to monitor and improve employee performance and productivity. Several technological solutions such as Electronics Performance Management Systems (e-PMS) are being used by many organisations to monitor the performance. This paper attempts to assess the impact of e-PMS in the organisational change. A model is proposed based on empirical results.

Data-driven marketing for growth and profitability

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Balakrishna Grandhi ◽  
Nitin Patwa ◽  
Kashaf Saleem
Keyword(s):  
Big Data ◽  
Online Survey ◽  
Shareholder Value ◽  
Business Environment ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Data Driven ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Customer Centricity

PurposeIn the current business environment, more uncertain than ever before, understanding consumer behavior is an integral part of an organization's strategic planning and execution process. It is the key driver for becoming a market leader. Therefore, it is important that all processes in business are customer centric. Marketers need to harness big data by engaging in data driven-marketing (DDM) to help organizations choose the “right” customers, to “keep” and “grow” them and to sustain “growth” and “profitability”. This research examines DDM adoption practices and how companies can aim to enhance shareholder value by bringing about “customer centricity”.Design/methodology/approachAn online survey conducted in 2016 received 180 responses from junior, middle and senior executives. Of the total responses, 26% were from senior management, 39% from middle management and the remaining 35% from junior management. Industries represented in the survey included retail, BFSI, healthcare and government, automobile, telecommunication, transport and logistics and IT. Other industries represented were aviation, marketing research and consulting, hospitality, advertising and media and human resource.FindingsSuccess of DDM depends upon how well an organization embraces the practice. The first and foremost indicator of an organization's commitment is the extent of resources invested for DDM. Respondents were divided into four categories; Laggards, Dabblers, Contenders and Leaders based on their “current level of investments” and “willingness to enhance investments” soon.Research limitations/implicationsWith storming digital age and the development of analytics, the process of decision-making has gained significant importance. Judgment and intuition too are critical to the process. Choosing an appropriate action cannot be done strictly on a rational basis.Practical implicationsThe results of the study offer interesting implications for managing the growing sea of data. An iterative and incremental approach is the need of the hour, even if it has to start with baby steps, to invest in and reap the fruits of DDM. The intention to use any system is always dependent on two primary belief factors: perceived usefulness and perceived ease of use; however, attitudes and social factors are equally important.Originality/valueThere is a dearth of knowledge with regards to who is and is not adopting DDM, and how best big data can be harnessed for enhancing effectiveness and efficiency of marketing budget. It is, therefore, imperative to build a knowledge base on DDM practices, challenges and opportunities. Better use of data can help companies enhance shareholder value by bringing about “customer centricity”.

scholarly journals Perceptions of research structures and service quality within various faculties at Durban University of Technology: staff and students perspective

2016 ◽  
Vol 14 (1) ◽  
pp. 192-200
Author(s):  
Musawenkosi Ngibe ◽  
Lawrence Mpele Lekhanya
Keyword(s):  
Service Quality ◽  
Performance Management ◽  
Academic Staff ◽  
Specific Reference ◽  
Support Structures ◽  
University Management ◽  
Research Support ◽  
Postgraduate Students ◽  
University Of Technology ◽  
The Impact

In order to compete, retain and attract postgraduate students, and overcome the lack of postgraduate throughput, universities of technology need to be more customer orientated. Therefore, to gain competitive advantage, university management needs to identify and assess the service quality gaps in research support structures and analyze the impact they have on students and staff within the university. The purpose of the study is to investigate the perceptions of staff and postgraduate students with regard to research structures and service quality support by relevant offices with specific reference to Durban University of Technology. Data were collected from academic staff and students across six faculties at the Durban University of Technology. The sample consisted of 278 academic staff and 260 postgraduate students, using a simple random sampling. A mixed method approach of qualitative and quantitative techniques was used, with a closed and open-ended questionnaire developed, by adapting the SERVQUAL instrument developed by Parasuraman et al. (1985), to evaluate and assess the quality dimensions (gap) for reliability, responsiveness, assurance and empathy. The findings of the study indicated that staff and students were dissatisfied with the research support structures across six faculties. Further research should aim at assessing performance management of research support structures and service within the relevant research offices

scholarly journals The Impact of Big Data, Sustainability, and Digitalization on Company Performance

2017 ◽  
Vol 12 (3) ◽  
pp. 181-189 ◽  
Author(s):  
Radu-Alexandru Șerban
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Digital Technology ◽  
Business Environment ◽  
Common Point ◽  
The Other ◽  
Future Generations ◽  
Company Performance ◽  
The Impact ◽  
Different Sources

Abstract Nowadays companies are dealing with large amounts of data, not only for an important decision but also into their day-to-day activity. In order to handle properly these large volumes of data, from different sources without missing the opportunities, companies need to figure out how to manage big data to their advantage. Embracing the advantages of big data is not enough because in order to face the challenges of the business environment, investing in digital technology is no longer seen as giving a competitive advantage, is seen as a standard. Also in the path of evolution, the interest of companies (profit) on one side and the interests of society (social and environmental) on the other side should find a common point in order to pursue their interests in a way that will not affect future generations. Sustainability is the approach towards this future, which allows companies to grow and make profits, but at the same time provides benefits for the society.

Big Data Governance in Agile and Data-Driven Software Development

2019 ◽  
pp. 179-199
Author(s):  
Lili Aunimo ◽  
Ari V. Alamäki ◽  
Harri Ketamo
Keyword(s):  
Big Data ◽  
Software Development ◽  
Predictive Models ◽  
Data Privacy ◽  
Business Case ◽  
Business Environment ◽  
Data Driven ◽  
Data Governance ◽  
Governance Framework ◽  
A Company

Constructing a big data governance framework is important when a company performs data-driven software development. The most important aspects of big data governance are data privacy, security, availability, usability, and integrity. In this chapter, the authors present a business case where a framework for big data governance has been built. The business case is about the development and continuous improvement of a new mobile application that is targeted for consumers. In this context, big data is used in product development, in building predictive modes related to the users and for personalization of the product. The main finding of the study is a novel big data governance framework and that a proper framework for big data governance is useful when building and maintaining trustworthy and value adding big data-driven predictive models in an authentic business environment.

Internationalization, Financial Performance, and Organizational Challenges

2018 ◽  
pp. 379-423
Author(s):  
Nuno Teixeira ◽  
Pedro Nuno Pardal ◽  
Bruno Guerreiro Rafael
Keyword(s):  
Financial Performance ◽  
Business Environment ◽  
Information Technology Industry ◽  
Organizational Challenges ◽  
Technology Industry ◽  
Production Factors ◽  
Internationalization Strategy ◽  
The Impact ◽  
Diverse Cultures

One of the main characteristics of current business environment is related to internationalization of companies and economies, where competitors from different countries with diverse cultures and production factors, easily clash for a position of supremacy in the markets. Thus, internationalization turned the management of organizations in a more complex act, increasing opportunities but also the risks of the business. As such, this paper aims to reflect on the main issues associated with companies' internationalization and the impact on their management process, in particular on financial performance and in organizational changes. In addition, we intend to conduct a case study of a Portuguese company of information technology industry that through its internationalization strategy, managed in less than a decade, to increment the turnover from 10 million to 60 million euros, becoming one of the largest Portuguese groups in the sector and a worldwide success.

How Do Food Delivery Platforms Affect Urban Logistics?

2020 ◽  
pp. 221-238
Author(s):  
Eduard Josep Alvarez-Palau ◽  
Marta Viu-Roig ◽  
Josep Reixach Molet
Keyword(s):  
Exploratory Study ◽  
Business Environment ◽  
Food Delivery ◽  
Precise Data ◽  
Delivery Times ◽  
Research Questions ◽  
The Impact ◽  
The City ◽  
Parent Companies ◽  
Platform Economy

The rise of the platform economy is rapidly changing the traditional economic and business environment. The phenomenon is being widely studied in academia, although so far this has taken a general approach. Lack of precise data and differences in markets hinder more specific analyses that could illustrate the real impact of these trends. This chapter offers an exploratory study of the impact of food-delivery platforms on urban logistics. The study is based on data scraped from the app of the Barcelona-based Glovo, consisting of affiliated restaurants, delivery times, and cost of the delivery. The physical premises identified for the restaurants were georeferenced to study how they are spread and clustered in the city. Restaurants were also matched to their parent companies to obtain economic data from the specialist SABI database. The research questions aim to provide understanding of what types of restaurants have joined the platform, how this has affected their annual turnover, where their physical premises are located, and how the consumer's location affects the service.

Big Data

2015 ◽  
Vol 6 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Ashok Kumar Wahi ◽  
Yajulu Medury ◽  
Rajnish Kumar Misra
Keyword(s):  
Big Data ◽  
Unstructured Data ◽  
Data Driven ◽  
Enterprise 2.0 ◽  
Huge Amount ◽  
The World ◽  
Data Driven Decisions ◽  
The Impact

Big data has taken the world by storm. Everyone from every industry is not only talking about the impact of big data but is looking for ways to effectively leverage the power of big data. This challenge has heightened with the huge amount of unstructured data flowing from every direction, bringing along with it the increasing pressure to make data driven decisions rather than the gut-driven decisions. This article sheds light on how big data can be an enabler for smart enterprises if the organization is able to address the challenges posed by big data. Enterprises need to equip themselves with relevant technology, desired skills and a supporting managerial attitude to swim through the challenges of big data. It also highlights the need for all enterprises making the journey from 1.0 stage to Enterprise 2.0 to master the art of Big Data if they have to make the transition successful.

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