Business Process Management Journal最新文献

Purpose

How to embed artificial intelligence (AI) in human resource management (HRM) is one of the core challenges of digital HRM. Despite regulations demanding humans in the loop to ensure human oversight of AI-based decisions, it is still unknown how much decision-makers rely on information provided by AI and how this affects (personnel) selection quality.

Design/methodology/approach

This paper presents an experimental study using vignettes of dashboard prototypes to investigate the effect of AI on decision-makers’ overreliance in personnel selection, particularly the impact of decision-makers’ information search behavior on selection quality.

Findings

Our study revealed decision-makers’ tendency towards status quo bias when using an AI-based ranking system, meaning that they paid more attention to applicants that were ranked higher than those ranked lower. We identified three information search strategies that have different effects on selection quality: (1) homogeneous search coverage, (2) heterogeneous search coverage, and (3) no information search. The more applicants were searched equally often (i.e. homogeneous) as when certain applicants received more search views than others (i.e. heterogeneous) the higher the search intensity was, resulting in higher selection quality. No information search is characterized by low search intensity and low selection quality. Priming decision-makers towards carrying responsibility for their decisions or explaining potential AI shortcomings had no moderating effect on the relationship between search coverage and selection quality.

Originality/value

Our study highlights the presence of status quo bias in personnel selection given AI-based applicant rankings, emphasizing the danger that decision-makers over-rely on AI-based recommendations.

Purpose

Business Process Reengineering (BPR) eliminates non-value-added (NVA) and essential non-value-added (ENVA) waste through radical process redesign to improve organizational operations. Comprehensive research integrating BPR tools is needed to understand their benefits for manufacturing firms. This research presents an integrated BPR-simulation framework tailored to the manufacturing sector to maximize process improvements and operational excellence.

Design/methodology/approach

The BPR design methodology adopts a systematic, multi-stage approach. The first phase involves identifying a specific improvement process aligned with BPR's core objectives. This phase analyses and redesigns workflows to optimize task sequences, roles, and stakeholder interactions while eliminating redundancies and inefficiencies via Workflow Process Reengineering. Visual process mapping tools, including VSM and simulation, pinpoint areas of waste, delay, and potential enhancement. The second phase follows the workflow analysis and aims to improve efficiency and effectiveness by redefining roles, rearranging tasks, and integrating automation and technology solutions. The redesigned process undergoes evaluation against key performance indicators to ensure measurable improvements are achieved. The final phase validates the proposed changes through simulation models, assesses the impact on key performance metrics, and establishes the necessary infrastructure for successful implementation. The proposed model is empirically validated through a case study of a leading apparel company in Vietnam, confirming its effectiveness.

Findings

The findings reveal that NVA activities are being eliminated, and ENVA activities in key departments are significantly reduced. This yielded a substantial improvement, reducing 25 out of 186 combined ENVA and NVA operations in the sewing facility, involving a decrease of 15 ENVA operations and the removal of 10 NVA operations. Consequently, this led to an 8.5% reduction in the proportion of ENVA operations, accompanied by a complete 100% elimination of NVA activities.

Research limitations/implications

The single case study limits generalizability; thus, expanded implementation across diverse manufacturing sub-sectors is required to establish validity and broader applicability of the integrated framework.

Originality/value

The experimental results highlight the proposed model's effectiveness in optimizing resource utilization and its practical implementation potential. This structured BPR methodology enables organizations to validate, evaluate, and establish proposed process changes to enhance operational performance and productivity.

Purpose

Prisons can utilize effective business process, operations management and continuous improvement techniques to provide an opportunity to support the rehabilitation of inmates. The purpose of this paper is to analyze the Iowa Prison Industries (IPI) work training program offered for incarcerated individuals under the supervision of the Iowa Department of Corrections (IDOC).

Design/methodology/approach

The IPI developed an Operational Excellence (OpEx) apprenticeship program that has worked with approximately 800 incarcerated “associates” to help them acquire skills necessary to obtain gainful employment upon release. This includes skills and belt level assessment in Lean Six Sigma as well as 6S/5S events and training. These techniques have been deployed by 22 teams at seven locations across the state of Iowa (USA). These sites have established objectives and goals and provided significant security-related benefits in the correctional industries environment.

Findings

Findings and success outcomes have been encouraging as those who completed the IPI apprenticeship program had lower recidivism, higher wages and more employability compared to the general prison population.

Social implications

The rehabilitation of incarcerated individuals is critical to society. This novel and unique case study reviews one approach to providing work and life skills (such as esteem-building professional and personal skill sets) to support this process within the prison system.

Originality/value

This OpEx program has provided numerous benefits to both IPI and the incarcerated individuals. We feel that these findings could be beneficial to other correctional institutions and better prepare more inmates for a successful return to the workforce and to society.

Purpose

The study explores the pivotal role of green information technology and sustainable business processes and their impact on organizational value in an underdeveloped economy. It aims to develop a comprehensive model for driving organizational value through sustainable initiatives.

Design/methodology/approach

Data was gathered through 474 survey instruments (41% response rate) from top managers of IT firms using a convenience sampling technique. After ensuring reliability and validity, hypotheses were tested using structural equation modeling. Data analysis utilized SPSS and AMOS 21.0.

Findings

The study revealed a significant positive impact of green information technology initiatives on financial and non-financial aspects, enhancing overall organizational value. Similarly, green information technology significantly influences sustainable business processes. Furthermore, sustainable business processes, encompassing economic, social, and environmental dimensions, enhance organizational value, including financial and non-financial performance. Consequently, a multifaceted sustainable model has been developed to optimize organizational value, providing new insights.

Practical implications

The findings imply that firms should focus on acquiring new green technologies and adopting sustainable processes, leading to enhanced profits and non-financial gains. This study aids managers in strategy development and implementation and guides policymakers in formulating context-specific policies. It enriches the existing literature on green IT, business process management, and organizational value.

Originality/value

The study rigorously tested a framework for fostering organizational value through green information technology and sustainable business processes in information technology firms. The proposed framework was validated using structural equation modeling.

Purpose

This study highlights the significance of knowledge management in the relationship between organizational ambidexterity and organizational performance within the context of Indonesian SMEs.

Design/methodology/approach

The study adopts a quantitative research approach, employing a survey questionnaire to collect data from a sample of SMEs operating in Indonesia. Structural Equation Modeling using Partial Least Square is used to investigate the relationship between variables.

Findings

The findings of this study show that in the context of small and medium enterprises, the variables of environmental and technological uncertainty are not driving factors in organizational ambidexterity. In contrast, market uncertainty has a significant effect on organizational ambidexterity. Moreover, it is also found that knowledge management does not support the variables of environmental, market, and technological uncertainty on organizational ambidexterity in small and medium enterprises. The results show that knowledge management plays a significant role in organizational ambidexterity. It also shows that knowledge management could support a significant way between organizational ambidexterity and organizational performance.

Originality/value

The findings of this study give insights for SMEs to attain a sustainable competitive edge in a dynamic business landscape by implementing efficient knowledge management techniques that bolster their ambidextrous capacities.

Purpose

This study investigates the relationships between data governance (DG), business analytics capabilities (BAC), and decision-making performance (DMP), with a focus on the mediating effects of big data literacy (BDL) and data analytics competency (DAC).

Design/methodology/approach

The study was conducted with 178 experienced managers in public service organizations, using a quantitative approach. Structural equation modeling (SEM) and mediation tests were employed to analyze the data.

Findings

The findings reveal that DG and BDL are critical antecedents for developing analytical capabilities. Big data literacy mediates the relationship between DG and BAC, while BAC mediates the relationship between DG and DMP. Furthermore, DAC mediates the relationship between BA capabilities and DMP, explaining most of the effect of BAC on DMP.

Practical implications

These results highlight the importance of DG in fostering BDL and analytical skills for improved decision-making in organizations.

Originality/value

By prioritizing DG practices that promote BDL and analytical capabilities, organizations can leverage business analytics to enhance decision-making.

Purpose

This article aims to understand the challenges and key takeaways of implementing total quality management (TQM) in a virtual organisation.

Design/methodology/approach

An interventionist research (IVR) methodology combined with a qualitative critical event analysis was used to evaluate the challenges and concerns faced during the company’s adoption of TQM and understand the roles of the key players involved.

Findings

Standard process tools such as desktop procedures (DTP), focused teams, and service-level agreements (SLAs) were fundamental to implementing TQM in the company. These processes require the right leaders, but external agents may also be influential, acting as accelerators of change in adopting and using management practices in small companies. Indeed, the researcher acted as a problem solver, bringing innovative solutions to the firm using a hands-on iterative approach.

Practical implications

This research underscores the importance of critical success factors (CSF), such as employee engagement, training, and project management tools. These factors are not just important but crucial for the success of TQM in organisations seeking to adopt the industry’s best practices.

Originality/value

This study, conducted as a virtual IVR for TQM implementation, provides novel insights for practitioners and academics. It elucidates the pivotal role of some quality management tools in the journey towards TQM and the role of both internal and external critical players in the process, particularly in small virtual organisations based on innovative business models.

Purpose

Many organizations currently transition towards digitalized process design, execution, control, assurance and improvement, and the purpose of this research is to empirically demonstrate how data-based operational excellence techniques are useful in digitalized environments by means of the optimization of a robotic process automation deployment.

Design/methodology/approach

An interpretive mixed-method case study approach comprising both secondary Lean Six Sigma (LSS) project data together with participant-as-observer archival observations is applied. A case report, comprising per DMAIC phase (1) the objectives, (2) the main deliverables, (3) the results and (4) the key actions leading to achieving the presented results is presented.

Findings

Key findings comprise (1) the importance of understanding how to acquire and prepare large system generated data and (2) the need for better large system-generated database validation mechanisms. Finally (3) the importance of process contextual understanding of the LSS project lead is emphasized, together with (4) the need for LSS foundational curriculum developments in order to be effective in digitalized environments.

Originality/value

This study provides a rich prescriptive demonstration of LSS methodology implementation for RPA deployment improvement, and is one of the few empirical demonstrations of LSS based problem solving methodology in industry 4.0 contexts.

Purpose

This work aims to integrate the concepts generated by a systematic literature review on patient flows in emergency departments (ED) to serve as a basis for developing a generic process model for ED.

Design/methodology/approach

A systematic literature review was conducted using PRISMA guidelines, considering Lean Healthcare interventions describing ED patients’ flows. The initial search found 141 articles and 18 were included in the systematic analysis. The literature analysis served as the basis for developing a generic process model for ED.

Findings

ED processes have been represented using different notations, such as value stream mapping and workflows. The main alternatives for starting events are arrival by ambulance or walk-in. The Manchester Triage Scale (MTS) was the most common protocol referred to in the literature. The most common end events are admission to a hospital, transfer to other facilities or admission to an ambulatory care system. The literature analysis allowed the development of a generic process model for emergency departments. Nevertheless, considering that several factors influence the process of an emergency department, such as pathologies, infrastructure, available teams and local regulations, modelling alternatives and challenges in each step of the process should be analysed according to the local context.

Originality/value

A generic business process model was developed using BPMN that can be used by practitioners and researchers to reduce the effort in the initial stages of design or improvement projects. Moreover, it’s a first step toward the development of generalizable and replicable solutions for emergency departments.

Purpose

The study examines the role of ethical leadership in the innovative performance of employees. Further, the purpose of the study is to investigate the mediating effect of human capital and social capital on the relationship between ethical leadership and the innovative performance of employees.

Design/methodology/approach

The study collected primary data from 386 managerial-level employees of information technology (IT) companies in the northern region of India. Structural equation modelling (SEM) was used to analyse the data and derive the direct and indirect effects.

Findings

The findings indicate a significant positive impact of ethical leadership on the innovative performance of employees. Further, it was found that ethical leadership has both direct and indirect effects on the innovative performance of employees, where the indirect effect was mediated through intellectual capital (IC). The research confirms that IC and ethical leadership are crucial resources for fostering a knowledge-driven culture and innovative performance amongst employees.

Originality/value

The research has made a novel attempt to explore the interplay between ethical leadership, IC and innovative performance in the Indian context. Further, the study provides actionable strategies for business leaders to optimise business processes and encourage innovative practices amongst employees in the company.