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1 – 10 of over 12000Rob Vluggen, Relus Kuijpers, Janjaap Semeijn and Cees J. Gelderman
Social return on investment (SROI) is a systematic way of incorporating social values of different stakeholders into public sector decision-making on sustainability. This study…
Abstract
Purpose
Social return on investment (SROI) is a systematic way of incorporating social values of different stakeholders into public sector decision-making on sustainability. This study aims to identify salient factors that influence SROI implementation.
Design/methodology/approach
The interactions of four Dutch municipalities and their social enterprises were examined, by analyzing relevant documents and interviewing key actors.
Findings
External forces appear to have little influence on SROI implementation. Management systems, legal restrictions in relation to privacy and the administrative burden appear to hinder SROI implementation. Findings suggest that trust among the parties involved and their representatives is a major driver for SROI development. SROI is not measured well enough, which complicates analyzing and reporting its development.
Research limitations/implications
Achieving collaboration through trust is a characteristic of stewardship theory, and therefore useful for studying social sustainability. Combining agency and stewardship theory provides useful insights concerning the application of control mechanisms versus empowerment.
Practical implications
Barriers can be overcome by informing and engaging suppliers in SROI initiatives. Furthermore, findings of this study suggest that it is easier for municipalities to incorporate SROI when social firm activities are insourced. An independent procurement function stimulates SROI development. Engaged professionals can make the difference in SROI policy implementation, more so than written policies.
Social implications
SROI enables social sustainability. SROI can be used by public agencies to provide meaningful activities for the long-term unemployed and underprivileged adolescents.
Originality/value
The study is the first empirical work that relates public procurement to SROI implementation and its effect on suppliers. The findings provide valuable insights into government influence on social enterprises.
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Marzenna Cichosz, Carl Marcus Wallenburg and A. Michael Knemeyer
The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics service industry and forced incumbent logistics service providers…
Abstract
Purpose
The rapid advancement of digital technologies has fundamentally changed the competitive dynamics of the logistics service industry and forced incumbent logistics service providers (LSPs) to digitalize. As many LSPs still struggle in advancing their digital transformation (DT), the purpose of this study is to discover barriers and identify organizational elements and associated leading practices for DT success at LSPs.
Design/methodology/approach
This study utilizes a two-stage approach. Stage 1 is devoted to a literature review. Stage 2, based on multiple case studies, analyzes information collected across nine international and global LSPs.
Findings
This research derives a practice-based definition of DT in the logistics service industry, and it has identified five barriers, eight success factors and associated leading practices for DT. The main obstacles LSPs struggle with, are the complexity of the logistics network and lack of resources, while the main success factor is a leader having and executing a DT vision, and creating a supportive organizational culture.
Practical implications
The results contribute to the emerging field of DT within the logistics and supply chain management literature and provide insights for practitioners regarding how to effectively implement it in a complex industry.
Originality/value
The authors analyze DT from the perspective of LSPs, traditionally not viewed as innovative companies. This study compares their DT with that of other companies.
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Maheshwaran Gopalakrishnan, Anders Skoogh, Antti Salonen and Martin Asp
The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization…
Abstract
Purpose
The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization. Therefore, the goals of the paper are to investigate existing machine criticality assessment and identify components of the criticality assessment tool to increase productivity.
Design/methodology/approach
An embedded multiple case study research design was adopted in this paper. Six different cases were chosen from six different production sites operated by three multi-national manufacturing companies. Data collection was carried out in the form of interviews, focus groups and archival records. More than one source of data was collected in each of the cases. The cases included different production layouts such as machining, assembly and foundry, which ensured data variety.
Findings
The main finding of the paper is a deeper understanding of how manufacturing companies assess machine criticality and plan maintenance activities. The empirical findings showed that there is a lack of trust regarding existing criticality assessment tools. As a result, necessary changes within the maintenance organizations in order to increase productivity were identified. These are technological advancements, i.e. a dynamic and data-driven approach and organizational changes, i.e. approaching with a systems perspective when performing maintenance prioritization.
Originality/value
Machine criticality assessment studies are rare, especially empirical research. The originality of this paper lies in the empirical research conducted on smart maintenance planning for productivity improvement. In addition, identifying the components for machine criticality assessment is equally important for research and industries to efficient planning of maintenance activities.
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Leanne Johnstone, David Yates and Sebastian Nylander
This paper aims to better understand how accountability for sustainability takes shape within organisations and specifically, what makes employees act in a Swedish local…
Abstract
Purpose
This paper aims to better understand how accountability for sustainability takes shape within organisations and specifically, what makes employees act in a Swedish local authority. This aim moves beyond the prevalent external face of accountability in social and environmental accounting research by observing how employees understand and act upon their multiple accountability demands.
Design/methodology/approach
This paper adopts a single case study approach within a Swedish local authority, drawing from qualitative data including semi-structured interviews, site visits and governing documents.
Findings
Sustainable action is not only the product of hierarchically enforced structural accountabilities and procedures but often must be reconciled with the personal perspectives of the public sector employees involved as part of an accountability dynamic. Additionally, the findings reveal that hierarchical accountability, rather than serving to individualise and isolate employees, acts as a prompt for the more practical and personal reconciliations of accountability with the ethics and experiences of the individual involved.
Practical implications
Greater consideration to employee socialisation processes in public sector organisations should be given to reinforce organisational governance systems and controls, and thus help ensure sustainable behaviour in practice.
Social implications
Employee socialisation processes are important for the development of sustainable practices both within and beyond organisational boundaries.
Originality/value
This study considers the interrelatedness of hierarchical and socialising accountability measures and contributes towards the understanding of the relationship between these two accountability forms, contrary to previous understandings that emphasise their contrasting nature and incompatibility.
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Amra Tica and Barbara E. Weißenberger
This paper aims to contribute to the understanding of the mechanisms that evolve during reputational scandals and lead to changes in industry regulation. It explores the processes…
Abstract
Purpose
This paper aims to contribute to the understanding of the mechanisms that evolve during reputational scandals and lead to changes in industry regulation. It explores the processes by which a demand for external industry regulation evolves, also addressing the consequences of firms’ competitive behaviors which lead to substantial misbehavior and the destruction of reputational capital. The authors are interested in whether and how regulatory activities – in the case analyzed here, changes in insurance regulation regarding sales commissions for insurance brokers – are used as a costly, external behavioral control mechanism (third-loop learning) to terminate a reputational scandal that cannot be stopped by internal controls at a firm level (first-loop and second-loop learning) anymore.
Design/methodology/approach
The paper explores a real-life case in the German insurance industry that peaked in 2012 and has been well documented by broad media coverage, complemented by interviews with leading industry representatives. Using causal process tracing as a methodology, the authors study the factors in the case that led to an industry scandal. The authors further analyze why the insurance firms involved were not able to limit the scandal’s impact by internally controlling their behaviors, but had to call for external regulation, thus imposing costly restrictions on sales and contract processes. To identify the mechanisms underlying this result, theories from the fields of economics (game theory) and sociology (vicious cycle of bureaucracies), as well as organizational learning theory, are used.
Findings
The authors find that individual rationality does not suffice to prevent insurance firms from scandalous business practices, e.g. via implementing appropriate internal behavioral control measures within their organizations. If, as a result, misbehavior leads to reputational scandals, and the destruction of reputational capital spills over to the whole industry, a vicious cycle is set in motion which can be terminated by regulation as an externally enforced control mechanism.
Research limitations/implications
This study is limited to the analysis of a single case study, combining published materials, e.g. broad media coverage, with interviews from representatives of the insurance industry. Nevertheless, the underlying mechanisms that have been identified can be used in other case studies as well.
Practical implications
The paper shows that if firms want to avoid increasing regulation, they must implement strong reputational risk management (RRM) to counteract short-term profit pressure and to avoid restrictive regulation imposed on the industry as a whole. Furthermore, it sheds light on the relevance of spillover effects for RRM, as not only employee behavior within an organization might lead to the destruction of reputational capital but also that from other firms, e.g. from elsewhere within an industry.
Originality/value
The paper contributes by emphasizing a direct causal link between corporate scandals, loss of reputation and regulatory change within the insurance industry. Furthermore, the paper contributes by combining economic theories with organizational theories to understand real-life phenomena.
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Stanley Frederick W.T. Lim and Jagjit Singh Srai
The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of…
Abstract
Purpose
The purpose of this paper is to investigate the interplay between configuration dimensions (network structure, network flow, relationship governance, and service architecture) of last-mile supply networks (LMSN) and the underlying mechanisms influencing omnichannel performance.
Design/methodology/approach
Based on mixed-method design incorporating a multiple embedded case study, mapping, survey, and archival records, this research involved undertaking in-depth within- and cross-case analyses to examine seven LMSNs, employing a configuration approach.
Findings
The existing literature in the operations management (OM) field was shown to provide limited understanding of LMSNs within the emerging omnichannel context. Case results suggest that particular configurations have intrinsic capabilities, and that these directly influence omnichannel performance. The study further proposes a taxonomy of LMSNs comprising six forms, with two hybrids, supporting the notion of equifinality in configuration theory. Propositions are developed to further explore interdependencies between configurational attributes, refining the relationship between LMSN types, and factors influencing omnichannel performance.
Practical implications
The findings provide retailers with a set of design parameters for the (re)configuration of LMSNs and facilitate performance evaluation using the concept of fit between configurational attributes. The developed model sheds light on the consequential effects when certain configurational attributes are altered, preempting managerial attention. Given the global trend in urbanization, improved LMSN performance would have positive societal impacts in terms of service and resource efficiency.
Originality/value
This is one of the first studies in the OM field to critically analyze LMSNs and their behaviors in omnichannel retailing. Additionally, the paper offers several important avenues for future research.
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Aya Rizk, Anna Ståhlbröst and Ahmed Elragal
Within digital innovation, there are two significant consequences of the pervasiveness of digital technology: (1) the increasing connectivity is enabling a wider reach and scope…
Abstract
Purpose
Within digital innovation, there are two significant consequences of the pervasiveness of digital technology: (1) the increasing connectivity is enabling a wider reach and scope of innovation structures, such as innovation networks and (2) the unprecedented availability of digital data is creating new opportunities for innovation. Accordingly, there is a growing domain for studying data-driven innovation (DDI), especially in contemporary contexts of innovation networks. The purpose of this study is to explore how DDI processes take form in a specific type of innovation networks, namely federated networks.
Design/methodology/approach
A multiple case study design is applied in this paper. We draw our analysis from data collected over six months from four cases of DDI. The within-analysis is aimed at constructing the DDI process instance in each case, while the crosscase analysis focuses on pattern matching and cross-case synthesis of common and unique characteristics in the constructed processes.
Findings
Evidence from the crosscase analysis suggests that the widely accepted four-phase digital innovation process (including discovery, development, diffusion and post-diffusion) does not account for the explorative nature of data analytics and DDI. We propose an extended process comprising an explicit exploration phase before development, where refinement of the innovation concept and exploring social relationships are essential. Our analysis also suggests two modes of DDI: (1) asynchronous, i.e. data acquired before development and (2) synchronous, i.e. data acquired after (or during) development. We discuss the implications of these modes on the DDI process and the participants in the innovation network.
Originality/value
The paper proposes an extended version of the digital innovation process that is more specifically suited for DDI. We also provide an early explanation to the variation in DDI process complexities by highlighting the different modes of DDI processes. To the best of our knowledge, this is the first empirical investigation of DDI following the process from early stages of discovery till postdiffusion.
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Camilla Lundgren, Jon Bokrantz and Anders Skoogh
Technological advancements are reshaping the manufacturing industry toward digitalized manufacturing. Despite the importance of top-class maintenance in such systems, many…
Abstract
Purpose
Technological advancements are reshaping the manufacturing industry toward digitalized manufacturing. Despite the importance of top-class maintenance in such systems, many industrial companies lack a clear strategy for maintenance in digitalized manufacturing. The purpose of this paper is to facilitate the implementation of maintenance in digitalized manufacturing by proposing a strategy development process for the Smart Maintenance concept.
Design/methodology/approach
This study is designed as a multiple-case study, where the strategy development in three industrial cases is analyzed. Several methods were used to collect data on the case companies' development of smart maintenance strategies. The data were analyzed with an inductive approach.
Findings
A process of strategy development for smart maintenance is proposed, including six steps: benchmarking, setting clear goals, setting strategic priority, planning key activities, elevating implementation and follow-up.
Practical implications
The proposed process provides industry practitioners with a step-by-step guide for the development of a clear smart maintenance strategy, based on the current state of their maintenance organization. This creates employee engagement and is a new way of developing maintenance strategies.
Originality/value
Maintenance strategies are traditionally regarded as a selection of corrective/reactive and preventive maintenance actions using a top-down approach. By contrast, the proposed process is starting from the current state of the maintenance organization and allows a mixture of top-down and bottom-up approaches, supporting organizational development. This is a rare perspective of maintenance strategies and will make maintenance organizations ready for the demands of digitalized manufacturing.
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David Loska, Stefan Genchev, Nicholas Rich and Tegwen Malik
Considering the size and intricate nature of defense supply chains (DSC), there exists a need for a conceptual understanding regarding the precise dynamics of collaboration among…
Abstract
Purpose
Considering the size and intricate nature of defense supply chains (DSC), there exists a need for a conceptual understanding regarding the precise dynamics of collaboration among the various participants engaged in these chains. This paper seeks to address the gap by investigating the practices that enable or inhibit collaborations and the development of new competencies to effectively employ a flexible response to temporary or more sustained surges in demand. Ultimately, the study aims to develop a theoretical framework relevant to the practical implementation and scholarly examination of contemporary military supply chains.
Design/methodology/approach
Semi-structured interviews were conducted with 51 DSC professionals in 7 embedded cases within an enterprise framework. The resulting transcripts were analyzed using constructs and concepts from a supply chain logistics (SC/L) literature analysis and synthesis relevant to our research purpose. Finally, the results were validated by an industry focus group with 12 participants representing the government, military, industry, and academia.
Findings
This research produced empirical generalizations that provide in-depth and systematic exploratory insights into collaboration’s meaning and characteristics within the DSC context. This study culminates by introducing a conceptual model and definition of defense supply chain collaboration (DSCC) and concludes by proposing future research directions.
Originality/value
This study makes a novel and empirical contribution to the SC/L body of knowledge by investigating embedded cases through unique access to informants within an enterprise framework that focuses on the antecedent influencing factors of collaboration within the contextual domain of the DSC and positions a future research agenda.
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Lisa Hedvall, Helena Forslund and Stig-Arne Mattsson
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Abstract
Purpose
The purposes of this study were (1) to explore empirical challenges in dimensioning safety buffers and their implications and (2) to organise those challenges into a framework.
Design/methodology/approach
In a multiple-case study following an exploratory, qualitative and empirical approach, 20 semi-structured interviews were conducted in six cases. Representatives of all cases subsequently participated in an interactive workshop, after which a questionnaire was used to assess the impact and presence of each challenge. A cross-case analysis was performed to situate empirical findings within the literature.
Findings
Ten challenges were identified in four areas of dimensioning safety buffers: decision management, responsibilities, methods for dimensioning safety buffers and input data. All challenges had both direct and indirect negative implications for dimensioning safety buffers and were synthesised into a framework.
Research limitations/implications
This study complements the literature on dimensioning safety buffers with qualitative insights into challenges in dimensioning safety buffers and implications in practice.
Practical implications
Practitioners can use the framework to understand and overcome challenges in dimensioning safety buffers and their negative implications.
Originality/value
This study responds to the scarcity of qualitative and empirical studies on dimensioning safety buffers and the absence of any overview of the challenges therein.
Details