The value of online surveys: A look back and a look ahead

JR Evans, A Mathur - Internet research, 2018 - emerald.com
Purpose The purpose of this paper is to present a detailed and critical look at the evolution
of online survey research since Evans and Mathur's (2005) article on the value of online …

Data-driven meets theory-driven research in the era of big data: Opportunities and challenges for information systems research

W Maass, J Parsons, S Purao, VC Storey… - Journal of the …, 2018 - aisel.aisnet.org
The era of big data provides many opportunities for conducting impactful research from both
data-driven and theory-driven perspectives. However, data-driven and theory-driven …

Big data analytics adoption: Determinants and performances among small to medium-sized enterprises

P Maroufkhani, ML Tseng, M Iranmanesh… - International journal of …, 2020 - Elsevier
Big data analytics (BDA) adoption is a game-changer in the current industrial environment
for precision decision-making and optimal performance. Nonetheless, the determinants or …

The role of artificial intelligence and data network effects for creating user value

RW Gregory, O Henfridsson, E Kaganer… - … of management review, 2021 - journals.aom.org
Some of the world's most profitable firms own platforms that exhibit network effects. A
platform exhibits network effects if, the more that people use it, the more valuable it becomes …

Competitive Advantage through Artificial Intelligence: Toward a Theory of Situated AI

A Kemp - Academy of Management Review, 2023 - journals.aom.org
How can firms establish competitive advantages using artificial intelligence (AI)? Although AI
is beginning to permeate business activities, our understanding of how AI can be used to …

The digital transformation of business. Towards the datafication of the relationship with customers

C Fernández-Rovira, JÁ Valdés, G Molleví… - … Forecasting and Social …, 2021 - Elsevier
Research presents an analysis of the most recent literature focused on digital transformation
in business with special emphasis on the area of marketing. Within the framework of the …

[HTML][HTML] Deep learning in business analytics and operations research: Models, applications and managerial implications

M Kraus, S Feuerriegel, A Oztekin - European Journal of Operational …, 2020 - Elsevier
Business analytics refers to methods and practices that create value through data for
individuals, firms, and organizations. This field is currently experiencing a radical shift due to …

[HTML][HTML] Understanding FinTech start-ups–a taxonomy of consumer-oriented service offerings

H Gimpel, D Rau, M Röglinger - Electronic Markets, 2018 - Springer
The financial sector is facing radical transformation. Leveraging digital technologies to offer
innovative services, FinTech start-ups are emerging in domains such as asset management …

[图书][B] Essentials of business research methods

J Hair Jr, M Page, N Brunsveld - 2019 - taylorfrancis.com
In an era of big data and data analytics, how can managers make decisions based on
almost unlimited information, not to mention hiring and retaining individuals with the …

Increasing firm agility through the use of data analytics: The role of fit

M Ghasemaghaei, K Hassanein, O Turel - Decision Support Systems, 2017 - Elsevier
Agility, which refers to a dynamic capability within firms to identify and effectively respond to
threats and opportunities with speed, is considered as a main business imperative in …