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The paper examines the conditions under which the adoption of the Internet of Things (IoT) innovation is justified by business purposes. The purpose of this paper is to propose a methodology capable of guiding prudent and successful investment in the IoT. The paper identifies enabling conditions to maximize the success of IoT security innovation adoption projects in Italian banks.

The methodology proposed is constructed from two key sources: first a literature review and second through impressions gleaned from an informal survey and in-depth interviews with a sample of convenience of six managers of Italian bank security systems. A key purpose of the literature review is to identify enabling conditions for a successful IT innovation adoption project which is then synthesized into an “innovation adoption model” capable of illustrating an IoT adoption decision. Second, the authors identify business process reengineering (BPR) steps required to establishing an appropriate organizational and technical framework to successfully undertake the adoption of the IoT for bank physical security purposes. The resulting methodology refers to a typical BPR project approached from an information system development perspective capable of fusing IoT services with human-based services at best performance values.

The literature review and proposed BPR framework give indications of possible support for the conclusion that the banking sector is ready for the IoT innovations and transformation of traditional bank branch worksites into smart environments. The tentative nature of these findings give sufficient justification for trialing the IoT for banking physical security by introducing an Intelligent Protection System to manage security management processes. Although the authors do not generalize the findings from examining the Italian banking security system, the literature review and the paucity of studies available encourages us to investigate the use of the IoT for bank physical security more broadly.

Adoption of the IoT represents the third wave of IT-driven competition and introduces a methodology applicable to the security domain which represents, globally, an area that is becoming a domain of major economic and social concern. The IoT adoption model proposed reflects the current state of knowledge in the field and could be extended to other organizational at-risk areas requiring continuity of highly effective protection. The authors are encouraged by the results that indicate a high likelihood of success to trial an IoT introduction to banking security.

Proposes providing an insight about enterprise resource planning (ERP) adoption, highlighting contact points and significant differences between the way small to medium‐sized enterprises (SMEs) and large companies approach such a task.

The research is based on a wide literature review, focused on the identification of a taxonomy of business and organizational factors influencing ERP adoption. The deriving research model was incorporated in a questionnaire that was preliminarily tested and finally provided to a sample of 366 companies of any size. Responses were collected through personal interviews made by a dedicated team to a top manager.

The analysis of the empirical data shows that business complexity, as a composed factor, is a weak predictor of ERP adoption, whereas just company size turns out to be a very good one. In other words, companies seem to be disregarding ERP systems as an answer to their business complexity. Unexpectedly, SMEs disregard financial constraints as the main cause for ERP system non‐adoption, suggesting structural and organizational reasons as major ones. This pattern is partially different from what was observed in large organizations where the first reason for not adopting an ERP system is organizational. Moreover, the decision process regarding the adoption of ERP systems within SMEs is still more affected by exogenous reasons or “opportunity of the moment” than business‐related factors, contrary to large companies that are more interested in managing process integration and data redundancy/inconsistency through ERP implementation.

The research model is based on the assumption that business complexity and organizational change are the most relevant variables influencing ERP adoption, and such variables are explained through a set of factors inherently limited by the results of the literature review.

The results of the empirical research provide indication to SMEs willing to take into consideration the adoption of an ERP system. The same outcomes could be incorporated into the development strategies of ERP software houses.

This paper contributes to enhancing the understanding of the factors influencing the evolution of information systems within SMEs with respect to large companies.

The interrelationship between organizational learning (OL) and organizational culture (OC) is often assumed at an abstract theoretical level, but there is yet no systematization of scholarly knowledge allowing to conceptualize and understand its precise nature. In this article, we therefore ask “How can we, based on the insights from the dispersed research studying OC and OL, conceptualize the interrelationship between the two concepts?” Our purpose is to create an overview on the past development path and the current status of research interrelating OL and OC, to use it as basis for the conceptualization of this interrelationship and to identify avenues for future research.

This article utilized a systematic literature review methodology by combining bibliometric and content analysis using relevant articles identified from the Scopus database. A two-stage literature review research approach was employed: (1) Bibliometric analysis was used to identify 416 relevant contributions and to present a comprehensive contextual picture of the interrelations between OL and OC research by analyzing the 162 most relevant articles. (2) A subsequent qualitative content analysis of the 45 most relevant academic contributions detailed and solidified the insights.

We identify four weakly linked thematic clusters on the interrelationship of OC and OL. Based on that, our analysis confirms the theorized bidirectional relationship between OC and OL: OC acts as antecedent, driver and result of OL processes, and OL processes are constrained by and alter OC. We moreover develop three propositions that put knowledge at the center of scholarly attention for understanding this interrelationship in more depth and develop avenues for future research.

Our research has important implications for managers as it shows that mastering leadership challenges is central for the success of OL processes and OC change. We moreover specify the leadership challenges that relate to particular types of OL processes. Managers need to take this interrelationship into account when setting out for OL or OC change processes, and carefully reflect on whether or not the decided OL measures fit the given OC, and the other way round.

Our contribution to existing research is threefold: It first lies in analytically mapping out the research field, second in conceptualizing the interrelationship between OC and OL and third in identifying open research questions and topics.

This paper aims to show that the extent to which convergence/divergence of a company's quality policies and practices towards/away from those of Six Sigma benchmark policies and practices mirror and anticipate the divergence of its sigma metric (SMs) from quantitative Six Sigma benchmarks. Further, the paper proposes to evaluate the robustness of the quality processes of these three companies and to compare them to that of the Six Sigma benchmark by subjecting these processes to the twin performance shocks of the benchmark Six Sigma 1.5σ allowance for process drift and a 25 percent tightening of customer requirements.

Using a novel methodology more appropriate to the critical quality characteristics of typical service industry companies, the paper computes a set of SMs for each company that is richer and broader than the metrics found in standard Six Sigma tables. This new methodology is based on the empirically observed defect rates that are currently being generated by a service process. Further, based on the available empirical data, the paper compared these metrics to the Six Sigma benchmarks.

First, the paper shows that it is possible to compute a broad array of Six Sigma metrics for service businesses based on defect rate data. Second, the results confirm the central proposition of the research to the effect that the divergence/convergence of the qualitative characteristics of a company's quality system from benchmark Six Sigma policies and practices mirror and anticipate the convergence/divergence of the company's quality metrics from the Six Sigma benchmark. Third, the research produced the unanticipated result that the quantitative quality performance of high‐performing service businesses on the Six Sigma metrics are much lower than anticipated and below what is normally achieved by their manufacturing counterparts. The results were also used to do an evaluation of the Taguchi robustness of service processes.

First, the paper demonstrates that traditional Six Sigma computational methodology for generating Six Sigma metrics that is prevalent in manufacturing applies equally to service businesses. Second, the parallel convergence of the qualitative characteristics of a company's quality system towards Six Sigma practices and its quantitative metrics towards the Six Sigma benchmark means that primacy must be given to quality practices as the drivers of quality improvement. Third, the fact that high‐performing service businesses achieve Six Sigma measures that are so low compared to their manufacturing counterparts seems to point either to some key measurement challenges in deploying Six Sigma in service industries or to the need to further change Six Sigma methodology to make it more applicable to these businesses.

There appears to be an ever‐insatiable demand from markets for organisations to improve their products and services. To meet this, there is a need to provide business process improvement (BPI) methodologies that are holistic, structured and procedural. Therefore, this paper describes research that has formed and tested a generic and practical methodology termed model‐based and integrated process improvement (MIPI) to support the implementation of BPI; and to validate its effectiveness in organisations. This methodology has been created as an aid for practitioners within organisations.

The research objectives were achieved by: reviewing and analysing current methodologies, and selecting a few frameworks against key performance indicators. Using a refined Delphi approach and semi‐structured interview with the “experts” in the field. Intervention, case study and process research approach to evaluating a methodology.

The BPI methodology was successfully formed and applied by the researcher and directly by the companies involved against the criteria of feasibility, usability and usefulness.

The paper has demonstrated a new knowledge on how to systematically assess a BPI methodology in practice.

Model‐based and integrated process improvement methodology (MIPI) methodology offers the practitioner (experienced and novice) a set of step‐by‐step aids necessary to make informed, consistent and efficient changes to business processes.

The novelty of this research work is the creation of a holistic workbook‐based methodology with relevant tools and techniques. It extends the capabilities of existing methodologies.

The concept of “traceability as a strategy and mandatory initiative” has replaced that of “traceability as a cost of a business or as a voluntary responsibility”. This implies that the introduction of a traceability system should be perceived and positioned as a catalyst for better business practices. However, despite these benefits, a traceability system is also investment‐worthy. Hence, the value of investment in a traceability system constitutes a matter of considerable concern and debate for both practitioners and academics alike. This paper seeks to present a cost‐benefit evaluation applied in a natural mineral water company regarding the pilot deployment of an electronic‐based traceability system.

This is a case based study.

Based on the experience described previously, a high‐level framework is generated that any organisation can refer to as a proper guideline in order to demonstrate how the costs and benefits can be compared for overall evaluation of the deployment of any traceability system. The details of the framework are described by applying it to a specific case.

The present framework has theoretical interest for replicability in a different number of food sectors.

The paper contributes to closing the existing gap regarding the theoretical approach that food traceability systems can adopt when their costs and benefits are investigated.

In early 2006, the anticipated expansion of package delivery services in China provided a great opportunity for the two package delivery giants FedEx and UPS. It was unclear which of these firms would make the most of this opportunity. An analysis of financial performance suggests that UPS is the better performer. On the other hand, the FedEx stock price performance has been far stronger. This apparent conflict highlights the fact that stock prices reflect anticipated future performance and new information. A teaching note and instructor and student spreadsheets are available.

The purpose of this paper is to study the relationship between organizational adaptability, institutional leadership and business process reengineering performance using the tested complexity theory in a developing economy setting.

This study is correlation and cross-sectional and adopts institutional-level data collected via questionnaires from reengineered microfinance institutions in Uganda. Cluster analysis as data mining technique was used to classify cases based on respondents’ opinions into homogeneous clusters. Nvivo was used to understand the perceptions of business process reengineering performance based on qualitative data. The authors used structural equation modeling to derive the predictive model of business process reengineering performance in a developing world setting.

The authors find that organizational adaptability and institutional leadership are key predictors of business process reengineering performance. Results reveal a predictive model of 61 per cent based on structural equation modeling for the study variables. Cluster analysis as data mining approach explored complex patterns of reengineered business processes.

The use of cluster analysis is susceptible to problems associated with sampling error and absence of fit indices. However, the likelihood of these problems is reduced by the interaction with the data, practical implications and use of smart partial least square to generate structural equations based on derived measurement models of each study variable.

Policymakers of Bank of Uganda, Ministry of Finance and Economic Planning, should develop sound policies in relation to knowledge management, institutional leadership and adaptive mechanisms to enhance business process reengineering performance to take advantage of new knowledge opportunities for the improvement of their businesses.

Given the results from structural equations generated, managers need to consider institutional leadership and organizational adaptability as key drivers of business process reengineering performance in microfinance institutions. The results confirm the significant role of institutional leadership, organizational adaptability in determining business process reengineering performance outcomes.

Unlike most of the business process reengineering literature, this study contributes to literature by domesticating and testing complexity theory to explain business process reengineering performance in developing economies.

The paper aims to analyze the influence of the enabling design of management control systems (MCS) on the intensity of use of management controls (budgeting and reengineering and improvement) in innovation (of processes and marketing).

A survey was conducted with mid-level managers of the companies that are considered the most innovative in Brazil. Structural equation modeling was applied to analyze the data.

The enabling MCS design positively and directly influences the intensity of use of management controls (budgeting and reengineering and improvements) and innovation (of processes and marketing). Indirect effects are also observed in the relationship between the enabling MCS design and innovation, through the intensity of use of reengineering and improvements. Environmental uncertainties reflect negatively on the intensity of use of management controls and innovation. These results broaden the discussions on the factors that can affect innovation actions and highlight the importance of considering them in the MCS design.

The value of the study lies in contributing to minimize inconsistencies in research results concerning the effects of MCS on innovation and of factors that may act as intervening factors in such a relationship. It discusses the influence of internal organizational factors, related to MCS design, and of external factors, environmental uncertainties, on the intensity of use of specific management controls and on the promotion of innovations in companies imbued with this mission.

Business innovation, that is, the adaptation of management systems to the changing conditions of the environment, is a key factor for organisations if they wish to survive and grow. Total quality management (TQM) has demonstrated its potential to be a successful way for organisations to elimintate costs, improve productivity and gain a competitive edge in the marketplace. However, are TQM and business innovation compatible? The advantages and disadvantages to TQM as a means of developing and facilitating business innovations are discussed in this paper. It is argued that TQM does not hinder business innovation and some of its dimensions can assist an organsation to be more innovative. The compatibility of reengineering, which is a form of business innovation, with TQM is also considered in the paper, along with the effects of TQM on the successful implementation of information technologies.