The production of row crops in the Midwestern (Indiana) region of the US has been facing environmental and economic sustainability issues. There has been an increase in trend for the application of fertilizers (nitrogen & phosphorus), farm machinery fuel costs and decreasing labor productivity leading to non-optimized usage of farm inputs. Literature describes how sustainable practices such as profitability (return on investments), operational cost reduction, hazardous waste reduction, delivery performance and overall productivity might be adopted in the context of precision agriculture technologies (variable rate irrigation, variable rate fertilization, cloud-based analytics, and telematics for farm machinery navigation). The literature review describes low adoption of Internet of Things (IoT)-based precision agriculture technologies, such as variable rate fertilizer (39%), variable rate pesticide (8%), variable rate irrigation (4%), cloud-based data analytics (21%) and telematics (10%) amongst Midwestern row crop producers. Barriers to the adoption of IoT-based precision agriculture technologies cited in the literature include cost effectiveness, power requirements, wireless communication range, data latency, data scalability, data storage, data processing and data interoperability. Therefore, this study focused on exploring and understanding decision-making variables related to barriers through three focus group interview sessions conducted with eighteen (n = 18) subject matter experts (SME) in IoT- based precision agriculture practices. Dependency relationships described between cost, data latency, data scalability, power consumption, communication range, type of wireless communication and precision agriculture application is one of the main findings. The results might inform precision agriculture practitioners, producers and other stakeholders about variables related to technical and operational barriers for the adoption of IoT-based precision agriculture practices.

Purpose: The purpose of this paper is to critically evaluate whether a Lean Six Sigma (LSS) leadership model could be effectively utilized to resolve efficiency and effective issues like rising costs, quality of education, graduation and retention rates encountered in higher education institutions (HEIs) in the modern era. Design/methodology/approach: The authors systematically reviewed the literature on key concepts of LSS and leadership in HEIs in to develop a theoretical model using an inductive theory-building approach in accordance with the exploratory nature of the study. Findings: The results of the study proposed a conceptual LSS leadership framework, which provides a basis for testing of LSS leadership representations in HEIs. The results suggest that LSS leadership has advantages for HEI to overcome currents issues and challenges. Research limitations/implications: This research is a theoretical study based on the existing literature that identified characteristics that may be adopted in higher education. The proposed LSS leadership framework is based upon leadership, statistical thinking, continuous change and improvement. This model is based upon service and the concepts of adaptive, rather than technical work, of leaders in higher education. Practical implications: The proposed LSS leadership framework brings new aspects and perspectives of leadership in HEIs. LSS leadership model has its practical meaning in providing a fundamental base for HEIs to overcome challenges, fulfill missions, and sustain improvements. Social implications: HEIs are a foundation for principles of democracy, equality and diversity. HEIs have been a path for citizens but HEIs are facing challenges that are reducing the ability of individuals to improve themselves. Leadership of HEI needs to incorporate new principles to adapt to a changing society. Originality/value: LSS project leaders have achieved improved bottom line results and customer satisfaction in a wide range of industries, but LSS application in the HEIs remains to be explored. This paper proposes an effective LSS leadership model, which can help improve the quality of education, reduce non-value added costs and enhance operational efficiency of HEIs.

Purpose: The purpose of this paper is to develop a framework for utilizing Six Sigma (SS) principles and Big Data analytics at a US public university for the improvement of student success. This research utilizes findings from the Gallup index to identify performance factors of higher education. The goal is to offer a reimagined SS DMAIC methodology that incorporates Big Data principles. Design/methodology/approach: The authors utilize a conceptual research design methodology based upon theory building consisting of discovery, description, explanation of the disciplines of SS and Big Data. Findings: The authors have found that the interdisciplinary approach to SS and Big Data may be grounded in a framework that reimagines the define, measure, analyze, improve and control (DMAIC) methodology that incorporates Big Data principles. The authors offer propositions of SS DMAIC to be theory tested in subsequent study and offer the practitioner managing the performance of higher education institutions (HEIs) indicators and examples for managing the student success mission of the organization. Research limitations/implications: The study is limited to conceptual research design with regard to the SS and Big Data interdisciplinary research. For performance management, this study is limited to HEIs and non-FERPA student data. Implications of this study include a detailed framework for conducting SS Big Data projects. Practical implications: Devising a more effective management approach for higher education needs to be based upon student success and performance indicators that accurately measure and support the higher education mission. A proactive approach should utilize the data rich environment being generated. The individual that is most successful in engaging and managing this effort will have the knowledge and skills that are found in both SS and Big Data. Social implications: HEIs have historically been significant contributors to the development of meritocracy in democratic societies. Due to a variety of factors, HEIs, especially publicly funded institutions, have been under stress due to a reduction of public funding, resulting in more limited access to the public in which they serve. Originality/value: This paper examines Big Data and SS in interdisciplinary effort, an important contribution to SS but lacking a conceptual foundation in the literature. Higher education, as an industry, lacks penetration and adoption of continuous improvement efforts, despite being under tremendous cost pressures and ripe for disruption.

Purpose: The article intended to excavate the Lean Six Sigma (LSS) deployment challenges, Critical Success Factors (CSF), tools and techniques, and managerial implications in an Indian healthcare setting.Design/methodology/approach: The article illustrates a case study established using Action Research (AR) approach. Further, the case study is based on the Define, Measure, Analyze, Improve, Control (DMAIC) phases of LSS. The performance and service quality of the Endodontics department of a dental college attached to a hospital is enhanced and sustained through the LSS strategy.Findings: The processing time of Root Canal treatment is reduced by determining the root causes for delay and implementing sustainable solutions. The structured deployment of the LSS strategy helped the Endodontics department to reduce the processing time from an average of 116 min–84 min. Thus, the process's sigma level is enhanced from 0.06 to 4.17 and assisted in sustaining the results.Research limitations/implications: The case study's findings are based on the single AR carried out at an Endodontics department of a dental college hospital based on LSS strategies. Even though this study's results cannot be generalized, the deliverables of the case study can be used to develop the LSS roadmap for the dental colleges to enhance the service quality and safety of the patients.Originality/value: The article provides step-by-step details for implementing LSS in dental college hospitals with critical analysis based on robust statistical tools and techniques. The case study provides evidence of the adoption of LSS in medical college education and provides the confidence to adopt the same through novice users. The study's findings may persuade the policymakers to add LSS in the medical education curriculum to reinforce safety and reduce errors in the healthcare system.

Purpose: The purpose of this paper, builds on previous studies that explored the research patterns over 15 years, is to consider the current status of the integration of Lean and Six Sigma. More specifically, this research addresses whether Lean and Six Sigma are stronger together and explores the reasons why Lean researchers and practitioners may be less likely to integrate Six Sigma in their work. Design/methodology/approach: The research utilises a survey of 25 established and respected academics and practitioners from 16 countries. The questionnaire is analysed using a direct content approach and coded in NVivo. Findings: The findings suggest that challenges may lie in the perception and understanding of statistics as well as short-term rather than long-term focus on improvement. The findings also suggest that academics and practitioners believe that Lean Six Sigma has developed over time and will continue to develop and improve as a methodology rather than being replaced with a new methodology. Research limitations/implications: The survey has a sample size of 25, albeit all respondents are established and very experienced practitioners and academics. Practical implications: For organisations that are introducing or refreshing their continuous improvement initiatives, this research identifies some of the challenges and provides the opportunity to address them to maximise the opportunities for success and sustainability. Originality/value: The value of this paper is that it further addresses the debate over the integration of Lean and Six Sigma for many organisations which still employ Lean alone, but beyond this it explores how they will continue to develop and whether they are a permanent edition to the quality management landscape or a transition to something else.

Purpose – The purpose of this paper is to utilize critical success factors (CSF) and identify items Green Belt (GB) practitioners note as barriers to completion of Six Sigma (SS) projects in a major manufacturer setting. Design/methodology/approach – The design of this paper is a descriptive study of a single location of a global manufacturer’s internal data and survey of accredited GBs who have completed an SS project for company accreditation utilizing company focus on CSFs. Findings – The results demonstrate the GB practitioners have competing priorities, have time constraints and lack project management skills that reduce timely completion of SS projects. Top management responsibility for SS GB projects are defined through the CSFs of leadership, project management and project selection. Research limitations/implications – This study pertains to the single manufacturing location of a major, multinational company. The survey of SS GBs is limited to those individuals who have become accredited to company requirements, in the initial stages of strategic implementation, resulting in a small sample size. All GB projects follow the DMAIC (Define, Measure, Analyze, Improve and Control) methodology. The implications may be reproduced in similar environments where GBs conduct SS projects to test the robustness of the study. Practical implications – This study underscores the importance of proper coaching and mentoring of SS practitioners, especially those who are expected to contribute as GBs in a part-time manner. Implementation of SS goes beyond initial deployment and requires active mentoring of GB practitioners to make sure that SS projects get proper focus. The results are relevant to both researchers and practitioners. Originality/value – This paper examines SS projects with a GB perspective, an important contribution to SS but lacking in the literature. While GBs are important to SS implementation, and serve as a pathway to fulltime SS personnel, there are few studies that note this work. This study will support practitioners in the importance of wider SS deployment through active support of GBs, where top management responsibility for GB success is defined through CSFs for improvement.