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The facility management (FM) sector, which is developing rapidly, is making slower progress in Turkey compared to Europe and the USA. This paper aims to research the underlying issues leading to FM practices and offer insights into the implications of FM-related policies, especially for large urban transformation projects.

The study used a mixed-methods research design and collected qualitative data through semi-structured interviews with building/site managers and quantitative data through structured surveys with residents. Forty-nine building/site managers and 660 residents participated in the interview and survey from Turkey’s North Ankara and Dikmen Valley urban transformation projects.

The FM by residents, performed by the managers selected among homeowners, was preferred to the professional FM in Turkey. Education level, age, homeownership and duration of living in the region were associated with selecting FM practices. Cost also had an important place among the selection criteria, and the standard view from the residents was that professional FM would cause a cost increase. However, interviews with building/site managers in North Ankara and Dikmen Valley Urban Transformation areas revealed that a significant part of the problem resulted from insufficient knowledge and experience in FM.

Within the scope of the research, two urban transformation projects in Ankara Province were selected, and the survey was limited to the North Ankara Entrance Urban Transformation Project and Dikmen Valley Urban Transformation Project areas. Although there is a need to improve the understanding of FM in all facilities, built environments and collective buildings, collective buildings in urban transformation areas due to several constraints, those other identified areas are postponed for future study. In addition, collective buildings located in transformation areas differ from others in discussing the social dimension and the impact of management.

Within the scope of the research, two urban transformation projects in Ankara Province were selected, and the survey was limited to the North Ankara Entrance Urban Transformation Project and Dikmen Valley Urban Transformation Project areas. Although there is a need to improve the understanding of FM in all facilities, due to several constraints built environments and collective buildings in urban transformation areas, are postponed for future study. In addition, collective buildings located in transformation areas differ from others in discussing the social dimension and the impact of management.

This study evaluates two different FM approaches: FM by residents and professional FM, implemented in Turkey and identifies the criteria for choosing the FM practice. In addition, both building/site managers and residents evaluate different perspectives on FM. This study is unique because it compares different FM practices in Turkey and the criteria for residents to prefer different FM practices.

Industry 4.0 is a promising concept that allows industries to meet customers’ demands with flexible and resilient processes, and highly personalised products. This concept is made up of different dimensions. For a long time, innovative digital technology has been thought of as the only dimension to succeed in digital transformation projects. Other dimensions have been identified such as organisation, strategy, and human resources as key while rolling out digital technology in factories. From these findings, researchers have designed industry 4.0 theoretical models and then built readiness models that allow for analysing the gap between the company initial situation and the theoretical model. Nevertheless, this purely deductive approach does not take into consideration a company’s background and context, and eventually favours one single digital transformation model. This article aims at analysing four actual digital transformation projects and demonstrating that the digital transformation’s success or failure depends on the combination of two variables related to a company’s background and context. This research is based on a double approach: deductive and inductive. First, a literature review has been carried out to define industry 4.0 concept and its main dimensions and digital transformation success factors, as well as barriers, have been investigated. Second, a qualitative survey has been designed to study in-depth four actual industry digital transformation projects, their genesis as well as their execution, to analyse the key variables in succeeding or failing. 46 semi-structured interviews were carried out with projects’ members; interviews have been analysed with thematic content analysis. Then, each digital transformation project has been modelled regarding the key variables and analysed with regards to succeeding or failing. Investigated projects have consolidated the models of digital transformation. Finally, nine digital transformation types have been identified.

The abundance of technological innovations has dramatically increased the prominence of digital transformation processes in many organizations and sectors. At the present time, digital transformation is first and foremost depicted in the literature as a strategy carefully elaborated and deployed by diligent executives. This stands in sharp contrast with contemporary organizational theory, and most especially the strategy-as-practice research stream, which has increasingly underlined the capability of middle managers to weigh upon strategizing processes. An empirical inquiry conducted in a major aeronautics company reveals that digital transformation can be largely driven by middle managers in charge of specific technological projects, who operate in the absence of a well-defined, overarching strategy. Drawing on the sociology of translation, the chapter identifies four tactics used by middle managers to ensure that their projects make it to the strategic agenda of the firm. Ultimately, the findings suggest that digital transformation processes cannot be solely understood as strategic endeavors, and can result from the addition of disjointed technological projects driven by middle managers instead.

Integration of health services involves multiple interdependent leaders acting at several levels of their organisation and across organisations. This paper aims to explore the complexities of leadership in an integrated care project and aims to understand what leadership arrangements are needed to enable service transformation.

This case study analysed system and organisational leadership in a project aiming to integrate primary and specialist care. To explore the former, the national policy documents and guidelines were reviewed. To explore the latter, the official documents from the transformation team meetings and interview data from 17 health-care professionals and commissioners were analysed using thematic analysis with the coding framework derived from the comprehensive and multilevel framework for change (Ferlie and Shortell, 2001).

Although integration was supported in the narratives of the system and organisational leaders, there were multiple challenges: insufficient support by the system level leadership for the local leadership, insufficient organisational support for (clinical) leadership within the transformation team and insufficient leadership within the transformation team because of disruptions caused by personnel changes, roles ambiguity, conflicting priorities and insufficient resources.

This study provides insights into the interdependencies of leadership across multiple levels and proposes steps to maximise the success of complex transformational projects.

This study’s practical findings are useful for those involved in the bottom-up integrated projects, especially the transformation teams’ members. The case study highlights the need for a toolkit enabling local leaders to operate effectively within the system and organisational leadership contexts.

This paper highlights that extant project management (PM) bodies of knowledge have not fully addressed organisational transformation enabled by information systems projects. The purpose of this paper is to examine the transformation context in the PM disciplines. The authors argue that the execution-oriented PM bodies of knowledge are limited, as they place too much emphasis on the delivery outputs by the supplier rather than the achievement of beneficial outcomes by the project owner.

As a conceptual paper, this paper reviews extant PM bodies of knowledge, life cycle models, the context of organisational transformation and benefits realisation, and the distinction between a project owner’s and the project supplier’s capabilities.

A new PM knowledge framework is provided as an advanced research frame for future works by enhancing Peter Morris’ Management of Projects framework by employing the conceptual lens of Winch’s Three Domains of Project Organising model.

The advanced model emphasises the necessity of distinguishing a project owner’s and a supplier’s PM capability and knowledge to achieve successful IS-enabled organisational transformation. Through this effort to resolve the fragmentation and specialisation problems in PM disciplines, the model can be used as a theoretical groundwork for the advancement of PM research.

This paper aims to study the impact of the digital transformation on the role and governance of Information Technology departements. The study focuses on banks and insurance companies because they have been allocating significant resources to managing their digital transformation.

Inductive qualitative research of an exploratory type based on the Gioia method involved face-to-face interviews at the IT departments of seven financial sector companies in France. Axial encoding of the answers, recommended by Gioia, was used to classify the raw data and structure the analysis using a graphical presentation.

Four IT governance maturity situations were determined within the financial steering and performance analysis modes of digital transformation projects. This research aimed to enable companies to position their practices within the analysis framework defined through modelled maturity situations and to help them steer their digital transformation.

A panel was composed with most of the banks in France and some insurance companies. The link was done between Digital Maturity, and Digital and IT Governance, and with the use of the graphical qualitative research using the Gioia method.

The research aims to investigate how firms can develop their sensing capabilities for Industry 4.0 (I4.0) technology adoption through reframing their opportunity perceptions related to learnings from I4.0 initiatives.

The research follows a design science research approach. Following the case of I4.0 technology introduction at a large food manufacturer, the paper develops a theoretical framework (artefact) and validates the applicability and efficacy of the framework within the case study.

The theoretical framework highlights the different temporal (short-term/long-term) and locational (direct/indirect) value dimensions of I4.0 opportunities. The findings show that the use of the framework can shift managers’ perception regarding the business value of an I4.0 technology implementation. Specifically, the framework reversed initially negative perceptions around a narrowly scoped business case towards an opportunity-oriented attitude exploring further potentials of the technology.

The research adds to the debate when and why firms engage in, and sustain their I4.0 initiatives by providing a novel perspective on firms’ sensing capabilities. As a single-case study, the framework requires further validation in practice.

The proposed framework provides practitioners with an extended view concerning the potential value of digital transformation projects and serves as a conversational tool.

The presented wider frame for evaluating digital transformation projects, taking into account the more “intangible” value of their learnings, tackles the fundamental issue of translating explorative innovation efforts into exploitative value – a key challenge when dealing with innovation and one of the main barriers for the digital transformation.

The purpose of this paper is to investigate how to analyse the possibilities for e-government transformations in public sector organisations and how these possibilities can be improved.

The research constructs a model based on a literature review that focusses on the pressure that drives transformations, on the challenges transformations face and on the abilities needed for overcoming these challenges. The resulting model is subsequently used to analyse a successful case and to identify the keys to success in terms of the strategies used to transform.

The possibilities for transformation depend on the organisational and contextual configuration (a public sector organisation and the context it operates in) which is more or less supportive of transformations. The configuration can be characterized by the pressure to transform, the challenges that must be overcome and the abilities to do so. There are some basic conditions that impact the possibilities for making the configuration more supportive of transformations: the interest of powerful stakeholders, the degree of publicness, the possibilities for changing the configuration are path dependent and the factors that matter for the possibilities for transformation are interrelated and might be governed by different authorities which make it difficult to manage and change them. When improving the possibilities for transformation in a configuration, the pressure can be increased, transformations can be made easier to accomplish by reducing challenges and by providing more support and abilities might be developed to better overcome the challenges. Transformation is accomplished through an interplay between actions that improve and exploit the configuration.

The findings are based on a single case.

The public sector should find the balance between making transformations easier and increasing capabilities. The lessons from this research suggest that a more balanced strategy focussing more on eliminating the contextual and organisational challenges that make these projects so complex and providing more support might be a better investment than just aiming to increase project level capabilities.

Just as practice might benefit from changing the balance between increasing project level capabilities and making transformation easier, e-government research might improve its relevance by changing the balance between suggesting new approaches and researching the basic conditions for the exploitation of IT in public sector organisations. While the essence of public sector organisations in some cases makes transformations very challenging, there are still factors that might be improved upon through research.

Previous research has established knowledge about transformational challenges and solutions. Based on this knowledge this research constructs a model that can be used to systematically analyse the possibilities for success, and strategies for dealing with these challenges are suggested.

Metadata and information technology staff in libraries that are building digital collections typically extract and manipulate MARC metadata sets to provide access to digital content via non‐MARC schemes. Metadata processing in these libraries involves defining the relationships between metadata schemes, moving metadata between schemes, and coordinating the intellectual activity and physical resources required to create and manipulate metadata. Actively managing the non‐MARC metadata resources used to build digital collections is something most of these libraries have only begun to do. This article proposes strategies for managing MARC metadata repurposing efforts as the first step in a coordinated approach to library metadata management. Guided by lessons learned from Cornell University library mapping and transformation activities, the authors apply the literature of data resource management to library metadata management and propose a model for managing MARC metadata repurposing processes through the implementation of a metadata management design.

The main purpose of our study is to analyze the influence of Artificial Intelligence (AI) on firm performance, notably by building on the business value of AI-based transformation projects. This study was conducted using a four-step sequential approach: (1) analysis of AI and AI concepts/technologies; (2) in-depth exploration of case studies from a great number of industrial sectors; (3) data collection from the databases (websites) of AI-based solution providers; and (4) a review of AI literature to identify their impact on the performance of organizations while highlighting the business value of AI-enabled projects transformation within organizations.

This study has called on the theory of IT capabilities to seize the influence of AI business value on firm performance (at the organizational and process levels). The research process (responding to the research question, making discussions, interpretations and comparisons, and formulating recommendations) was based on a review of 500 case studies from IBM, AWS, Cloudera, Nvidia, Conversica, Universal Robots websites, etc. Studying the influence of AI on the performance of organizations, and more specifically, of the business value of such organizations’ AI-enabled transformation projects, required us to make an archival data analysis following the three steps, namely the conceptual phase, the refinement and development phase, and the assessment phase.

AI covers a wide range of technologies, including machine translation, chatbots and self-learning algorithms, all of which can allow individuals to better understand their environment and act accordingly. Organizations have been adopting AI technological innovations with a view to adapting to or disrupting their ecosystem while developing and optimizing their strategic and competitive advantages. AI fully expresses its potential through its ability to optimize existing processes and improve automation, information and transformation effects, but also to detect, predict and interact with humans. Thus, the results of our study have highlighted such AI benefits in organizations, and more specifically, its ability to improve on performance at both the organizational (financial, marketing and administrative) and process levels. By building on these AI attributes, organizations can, therefore, enhance the business value of their transformed projects. The same results also showed that organizations achieve performance through AI capabilities only when they use their features/technologies to reconfigure their processes.

AI obviously influences the way businesses are done today. Therefore, practitioners and researchers need to consider AI as a valuable support or even a pilot for a new business model. For the purpose of our study, we adopted a research framework geared toward a more inclusive and comprehensive approach so as to better account for the intangible benefits of AI within organizations. In terms of interest, this study nurtures a scientific interest, which aims at proposing a model for analyzing the influence of AI on the performance of organizations, and at the same time, filling the associated gap in the literature. As for the managerial interest, our study aims to provide managers with elements to be reconfigured or added in order to take advantage of the full benefits of AI, and therefore improve organizations’ performance, the profitability of their investments in AI transformation projects, and some competitive advantage. This study also allows managers to consider AI not as a single technology but as a set/combination of several different configurations of IT in the various company’s business areas because multiple key elements must be brought together to ensure the success of AI: data, talent mix, domain knowledge, key decisions, external partnerships and scalable infrastructure.

This article analyses case studies on the reuse of secondary data from AI deployment reports in organizations. The transformation of projects based on the use of AI focuses mainly on business process innovations and indirectly on those occurring at the organizational level. Thus, 500 case studies are being examined to provide significant and tangible evidence about the business value of AI-based projects and the impact of AI on firm performance. More specifically, this article, through these case studies, exposes the influence of AI at both the organizational and process performance levels, while considering it not as a single technology but as a set/combination of the several different configurations of IT in various industries.