Research Trends in Information Systems From the Management Discipline Based on Co-Occurrence Analysis

Research Trends in Information Systems From the Management Discipline Based on Co-Occurrence Analysis

Beatriz Forés, Rafael Lapiedra, José-María Fernández-Yáñez
DOI: 10.4018/978-1-7998-3473-1.ch042
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Abstract

There is a generalised consensus on the notable role that information systems and technologies (IS/IT) play in organisational performance. This evidence has been widely explored and recognised by both business practice and academia; as a result, the literature on information systems has acquired considerable relevance in the field of business administration due to its major role in the strategic process. In order to observe the impact of information systems research on the scientific community, we carried out a bibliometric study based on an analysis of the concurrences of the key words used in publications on the subject. This type of quantitative analysis can reveal the structure that supports a certain topic in a discipline and its evolution, as well as the most relevant related concepts. Specifically, six theoretical clusters were observed and defined: 1) data analytics, 2) electronic intra and inter-organisational exchanges, 3) dynamic capabilities, 4) geographical agglomerations, sustainability and tourism, 5) ERP, and 6) quality.
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Introduction

There is a generalised consensus on the notable role that information systems and technologies (IS/IT) play in organisational performance (Mithas and Rust, 2016; Chen et al., 2014; Sabherwal & Jeyaraj, 2015; Wamba et al., 2017). The literature has traditionally associated the impact of IS/IT with technical and operational factors related to cost reduction and improved efficiency and productivity (e.g. Markus et al., 2000; Gattiker and Goodhue, 2005; Kale et al., 2010; Rouhani and Mehri, 2018). Recently, however, its impact seems to have been demonstrated in other management factors, such as those related to the satisfaction and motivation of human resources, their communication and internal coordination, their performance in decision making and in improving quality and services to clients (Shang and Seddon, 2000; Al-Mashari et al, 2003; Kale et al. 2010; Rouhani and Mehri, 2018) as well as strategic factors, linked to internationalisation (Morikawa, 2004), management of cooperation agreements (Sarker et al., 2012), organisational learning (Shang and Seddon, 2000) and innovation (Simao and Franco, 2018; Singaraju et al., 2016).

IS/IT support has thus led to the development and implementation of new organisational and inter-organisational business models (Loebbecke and Picot, 2015), which favour the creation of virtual clusters (Hernández and Peiró, 2013), improve the supply chain (Vendrell-Herrero et al., 2017), and even enable more sustainable strategies linked to the circular economy (Jabbour et al., 2017).

This evidence has been widely explored and recognised by both business practice and academia (Chen et al., 2014); as a result, the literature on information systems has acquired considerable relevance in the field of business administration due to its major role in the strategic process (Whittington, 2014). A growing number of journals now specialise in information systems and have a major impact in the field of management knowledge; some examples are MIS Quarterly, Journal of Information Technology, Journal of Strategic Information Systems, Information & Management, Information & Management, Journal of Management Information Systems, and Information Systems Research.

In order to observe the impact of information systems research on the scientific community, we carried out a bibliometric study based on an analysis of the concurrences (Lou and Qiu, 2014) of the key words used in publications on the subject. This type of quantitative analysis can reveal the structure that supports a certain topic in a discipline and its evolution, as well as the most relevant related concepts. Our search strategy in the Scopus database was to first select all articles in the business, management and accounting category for the period 2016-2019 (up to 6 February 2019) whose keywords include information systems. This search yielded an input of 1,778 scientific articles. We then analysed these articles using the VOSviewer program to identify the most frequent keywords, which are highlighted in the figure and tables below.

Specifically, Figure 1 displays the nets, while Figure 2 displays the densities of the nets. Both figures were created by taking the 7737 keywords (introduced by the authors), filtered to obtaining a minimum of eight occurrences; this process resulted in 42 keywords related to the information systems in the articles of the area of business, management and accounting.

Figure 1.

Network of key concepts with the greatest concurrence linked to information systems (period 2016-2019)

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Figure 2.

Density of concepts linked to information systems

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Key Terms in this Chapter

Data Mining: Is the technology that allows relationships and trends to be discovered through the analysis of amounts of data stored in databases.

Smart City: Is the designation given to a city that integrates procedures, actions and IT to enhance its sustainability in terms of providing better quality in its landscape, governance, urban services for citizens, environmental responsibility, education, etc., and reduces consumption and costs.

Big Data: Refers to large data sets. The definition of the term may also include the specific tools for their processing and structured or unstructured analysis that facilitate business decision making by revealing new patterns, associations, and trends.

Business Intelligence: Includes the tools, practices, and infrastructures necessary for the organisation, management and analysis of information, in a visual and customised way, to improve business decision making.

Cloud Computing: Is the practice of accessing and using remote servers hosted on the Internet to organise, manage, analyse, and deliver data. It removes the need to maintain expensive computing hardware, dedicated space, and software.

Geographical Information System (GIS): Is an ensemble of hardware, software and geographic data that facilitates the capture, storage, analysis, and presentation of any type of information related to geography or spatial data.

Internet of Things: Comprises the array of all the devices and objects whose status can be queried or modified via the Internet, with or without the active participation of people. It therefore includes the Internet, cloud computing, mass data analysis and sensors, whose convergence will lead to automatic learning, remote control and optimisation of machines and autonomous systems.

Blockchain: Is a system in which a record of different types of interactions (commercial or not) made in a chain and cryptographically signed are managed through a peer-to-peer network. It allows information to be transferred under highly secure standards, and with validation at each step.

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