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Global construction sector studies have significantly explored the impact of automation techniques, revealing their transformative potential. However, research on their application within specific local contexts, especially in developing countries like Nigeria, is sparse. Nigeria presents a unique context marked by challenges such as skilled labor shortage, safety concerns and cost efficiency. Therefore, investigating the implementation of automation techniques in the Nigerian construction industry is crucial to address these challenges, bring transformative advancements and contribute to a more balanced global discourse on automation adoption. This study aims to fill this significant research gap.

A mixed research method was deployed which combined both qualitative and quantitative data collection and analysis. Two focus group discussions conducted with 23 experts from both industry and academic institutions (qualitative) yielded 17 drivers which were used to formulate a well-structured questionnaire (quantitative), which was disseminated to construction professionals. Collected data underwent analysis through various statistical techniques, including percentages, frequencies, mean item scores and exploratory factor analysis.

Principal component analysis (PCA) yielded four driver clusters namely: (1) performance-related drivers, (2) visualization and efficiency-related drivers, (3) technological and human-related drivers and (4) economic-related drivers.

The study provides empirical insights that can aid stakeholders, decision-makers, policymakers and the government in formulating strategies to promote automation techniques in the Nigerian construction industry and beyond.

This study's originality lies in its exploration of the untapped potential of automation techniques in the Nigerian construction industry, offering novel perspectives on how these technologies can address specific challenges such as skilled labor shortage, safety concerns and cost efficiency, thereby paving the way for transformative advancements in the sector.

This study aims to estimate the value of the impact from digital transformation (DX) focusing on its automation effect, looking at the time and cost savings coming from the substitution effect with an adoption of digital technologies. For example, cloud and artificial intelligence technologies such as ChatGPT have the potential to change ways of working, substituting and replacing several of the tasks that are currently carried out by public administration (PA) employees and labor processes underpinning PA services.

The paper outlines a new framework to estimate the potential impact of DX on the public sector. The authors apply this framework to estimate the value of the impact of DX on the Italian PA, defining the latter by the collection of the value of its labor (i.e. PA workforce salaries) and by the collection of the value of its outputs (i.e. public services’ costs).

This study ultimately maps out the magnitude and trends of how likely the PA occupations and services could be substituted in a wider process of DX. To do this, the authors apply their framework to the Italian PA, and they triangulate secondary data collection, from official accounts of the Italian Ministry of Economics and the National Statistical Institute, with methodological antecedents from the UK Office for National Statistics and experts’ insights. Results provide a snapshot on the type and magnitude of PA jobs and services projected to be affected by automation over the next 10 years.

To the best of the authors’ knowledge, this paper provides for the first time an approach to estimate the value of the impact of DX on the public sector in a data-constrained environment – or in the lack of the required primary data. Once applied to the Italian PA, this approach provides a granular map of the automatability of each of the PA occupations and of the PA services. Finally, this paper mentions preliminary insights on potential challenges related to equity in public sector jobs and implications on recruitment processes.

This study aims to examine the effects of the culture for innovation, work engagement and the use of interactive performance measurement systems (PMSs) in the interorganizational accounting processes automation at a shared services center (SSC).

A single-entity survey was carried out at an SSC provider of B2B accounting services of a multinational company in the electrical sector, and structural equation modeling was applied for data analysis.

The results show that the culture for innovation, the work engagement and the use of interactive PMS positively and significantly influence the accounting process automation in the investigated SSC. Moreover, the use of interactive PMS presents a mediating effect on the relationship between culture for innovation and work engagement.

The research findings contribute by revealing that the culture of innovation, work engagement and the interactive PMS support the use of robotic process automation and artificial intelligence in the interorganizational automation of accounting processes in an SSC-type service ecosystem. This highlights the importance of the culture of innovation and the positive feeling toward work being reinforced by the organization and the role of the interactive PMS as a formal instrument to transmit the organizational objectives and provide a common vision.

The study reveals that the use of interactive PMS seems to be an important conductor of the behavior of employees toward the accounting process automation strategy at the SSC, reinforced, in this case, by the culture of innovation and work engagement.

The advent of robotics and automation technologies was augmenting firm initiatives to attain competitive advantage. From a resource-based view perspective, human-led capabilities were important to operate with technology resource base of an organisation. This was evident for both manufacturing as well as services firms. However, employees as an individual confronted technology anxiety (TA) when they were working with new technologies like robotics and automation technologies. Thus, the purpose of this paper was to examine the factors causing TA.

Given the novelty of this research study context a qualitative exploratory method was designed. For this research study, the data collected was through in-depth interviews conducted through open-ended semi-structured questionnaire. The data was collected from 62 frontline employees who were working with robotics and automation-based technologies in manufacturing firms. The authors applied thematic content analysis on collected data for analysis.

Technology anxieties ranged from fear of complete inability to learn new technologies, failure to learn new technologies properly, incapability to implement the learned skills and job loss to younger technology savvy employees. Finally, there was anxiety over job loss as automation and robotic technologies over the years was expected to erode the employment of human workforce altogether.

The author undertook the research study based upon the TA perspective advocated by Meuter et al. (2003) and Yang and Forney (2013). Furthermore, this research study in the context of robotics and automation-based technologies in the manufacturing sector applied the mental accounting theory (Thaler, 1999) and technology self-efficacy perspective (Huffman et al., 2013).

Managers involved in the implementation of robotics and automation-based technologies were required to address TA of employees. Fear of job loss had to be addressed specially in a country like India. Anxiety regarding the ability to learn to work with robotics and automation technologies also was needed to be addressed by managers through adequate training and time for preparation. The benefits of robotics and automation-based technologies for employees as well as organisations have to be ascertained through open communication between the management and the frontline employees.

To the best of the authors’ knowledge, this was one of the first empirical research studies which deliberated regarding TA in the context of frontline workers working with robotics and automation-based technologies in the manufacturing sector. This research study was based upon a combination of varied perspectives ranging from micro foundations theory, TA, mental accounting theory and technology self-efficacy perspective.

Many economic, political and socio-cultural events in the 2020s have been strong headwinds for architecture, engineering and construction (AEC). Nevertheless, technological advancements (e.g. artificial intelligence (AI), big data and robotics) provide promising avenues for the development of AEC. This study aims to map the state of the literature on automation in AEC and thereby be of value not only to those researching automation and its composition of a variety of distinct technological and system classes within AEC, but also to practitioners and policymakers in shaping the future of AEC.

This review adopts scientometric methods, which have been effective in the research of large intra and interdisciplinary domains in the past decades. The full dataset consists of 1,871 articles on automation in AEC.

This overarching scientometric review offers three interdisciplinary streams of research: technological frontiers, project monitoring and applied research in AEC. To support the scientometric analysis, the authors offer a critical integrative review of the literature to proffer a multilevel, multistage framework of automation in AEC, which demonstrates an abundance of technological paradigm discussions and the inherent need for a holistic managerial approach to automation in AEC.

The authors underline employee well-being, business sustainability and social growth outcomes of automation and provide several managerial implications, such as the strategic management approach, ethical management view and human resource management perspective. In doing so, the authors seek to respond to the Sustainable Development Goals proposed by the United Nations as this becomes more prevalent for the industry and all levels of society in general.

The objective of this article is to identify through a literature study which factors determine the success of process automation in management systems.

A systematic approach is applied to analyze the available literature on the topic. The first stage of the study consisted of analyzing publications aiming to identify aspects that may influence the implementation of automated process management tools in management systems. In the second stage, a synthesis of the information was performed, resulting in a set of representative factors of the aspects identified.

As a result of the literature review, determinant aspects were identified for the implementation of process automation in organizations in general. These elements are summarized in the following factors: Characterization and diversity of the context, Organizational Performance, People Engagement, Knowledge Management, Automated Process Management and Information Technology.

Prior knowledge of the determinants and associated aspects has the potential to optimize process automation, as it eliminates unnecessary steps and allows better application of the available resources.

This paper examines the relationship between marketing automation emergence and the marketers' use of heuristics in their decision-making processes. Heuristics play a role for the integration of human decision-making models and automation in augmentation processes, particularly in marketing where automation is widespread.

This study analyzes qualitative data about the impact of marketing automation on the scope of heuristics in decision-making models, and it is based on evidence collected from interviews with twenty-two experienced marketers.

Marketers make extensive use of heuristics to manage their tasks. While the adoption of new automatic marketing tools modify the task environment and field of use of traditional decision-making models, the adoption of heuristics rules with a different scope is essential to defining inputs, interpreting/evaluating outputs and control the marketing automation system.

The paper makes a contribution to research on the relationship between marketing automation and decision-making models. In particular, it proposes the results of in-depth interviews with senior decision makers to assess the impact of marketing automation on the scope of heuristics as decision-making models adopted by marketers.

Following a contingency approach, this paper aims to understand when service automation can enhance or destroy value for customers in the frontline by (1) providing a comprehensive overview of factors that influence the value co-creation/co-destruction potential of service automation and (2) zooming in on the combination of service contexts and service tasks to develop research propositions.

This paper uses a grounded theory approach based on qualitative data from multiple methods (i.e. a diary study with follow-up interviews, a consultation of academic experts and a storyboard study) as well as a systematic literature review to develop (1) a Framework of Automated Service Interactions (FASI) and (2) a contingency model for service tasks/contexts.

This paper presents a framework which gives an overview of factors influencing the value co-creation/co-destruction potential of service automation. The framework discerns between three types of factors: service design (i.e. controllable and manageable by the organization), static contingency (i.e. uncontrollable and fixed) and dynamic contingency (i.e. uncontrollable and flexible). Furthermore, the paper presents a contingency model based on the combination of service contexts and service tasks which results in seven research propositions.

This paper brings structure in the fragmented field of service automation. It integrates and summarizes insights regarding service automation and sheds more light on when service automation has the potential to create or destroy value in the organizational frontline.

The aim of this study was to investigate the use of software for the automation of academic libraries in Sialkot. This study consisted of three objectives, including recognizing the reasons to adopt the software for library automation, investigating the problems faced by librarians while using library software and identifying the satisfaction level with the attributes of library software.

A quantitative research approach was used to achieve the objectives of this study. A survey was conducted to collect data from the library information science professionals working in the academic libraries of Sialkot. The data was collected from 46 library professionals through a structured questionnaire.

The findings showed that the economic cost of implementation, maintenance and the software providing multilingual support were the major reasons for adoption of software for the purpose of automation. In this study, compliance with the internet, noncooperation in library automation by university/institution, availability of training facilities, insufficient library budget, a lack of financial/economic resources, staff transfer and a lack of consultancy and technical service were identified as major issues when using library automation software. However, the respondents were quite satisfied with the performance of software attributes including circulation modules, easy to use cataloguing modules, reports’ modules, software attributes of administration modules and multilingual facility.

This study persuades library and information science professionals to automate their libraries through the adoption of library software.

This viewpoint paper envisions the key competencies that employees should cultivate to thrive amidst the age of automation.

This paper synthesises recent academic and contextual papers on the topic of workplace automation, alongside the author’s practical knowledge as a Global Program Manager for Robotic Process Automation projects in an S&P 500 company.

Four skill building blocks are created which will help employees stay relevant in the age of automation: process engineering, automation technology, self-leadership and humanistic.

In this new era of automation, the skills of today will no longer be sufficient for employees to remain competitive in future. This paper contributes to literature by envisioning and presenting four skill blocks that could serve as a blueprint for human resources officers and executives to create the future learning plans and hiring strategies of their organisations, as they grow along the automation maturity curve.