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In recent decades, emerging market multinational enterprises (EMNEs) have predominantly adopted a big step internationalization strategy to expand their business overseas. This study aims to examine the effect of big step internationalization on the speed of subsequent foreign direct investment (FDI) expansion for EMNEs. The authors also investigate the potential boundary conditions.

The authors use the random effects generalized least squares (GLS) regression following a hierarchical approach to analyze the panel data set conducted by a sample of publicly listed Chinese firms from 2001 to 2012.

The findings indicate that implementing big step internationalization in the initial stages accelerates the speed of subsequent FDI expansion. Notably, the authors find that this effect is more pronounced for firms that opt for acquisitions as the entry mode in their first big step internationalization and possess a board of directors with strong political connections to their home country’s government. In contrast, the board of director’s international experience negatively moderates this effect.

This study provides insights into our scholarly and practical understanding of EMNEs’ big step internationalization and subsequent FDI expansion speed, which offers important implications for firms’ decision-makers and policymakers.

This study extends the internationalization theory, broadens the international business literature on the consequences of big step internationalization and deepens the theoretical and practical understanding of foreign expansion strategies in EMNEs.

Building permitting is mostly a manual, labor intensive and time-consuming process. Initiatives for streamlining the process are not always helpful since they often fail to address the core problems within the process. A framework for modeling the permitting process can be useful to identify bottlenecks, core challenges and best practices. Hence, the authors aim to demonstrate and validate a previously suggested workflow for permit process modeling using the permitting process in Israel as a test case.

The authors implement qualitative expert interviews for data acquisition. The collected data are then processed for a qualitative data analysis. The results of the analysis are then validated using a focus group workshop in the field of building permits. In the test case the focus group consisted of Israeli experts.

The authors present a detailed overview of the as-is building permit process in Israel and the existing challenges. Through this test case, the authors found that the framework is applicable in different countries and that it can provide valuable insights into the core problems within the process. In addition, application of the same framework in different countries can provide comparable results that would allow the authors to identify best practices.

The major contribution of this work is the development and validation of a framework for building permitting process modeling which can be used to identify existing challenges and bottlenecks in the process. Implementing a structured and unified approach provides an opportunity to easily compare processes in different countries to identify best practices.

This paper studies the Digital Service Innovation (DSI) concept by systematically reviewing earlier studies from various scholarly communities. This study aims to recognize how recent advances in DSI literature from different research streams complement and can be incorporated into the growing digital servitization literature to define better and understand DSI.

After systematically identifying 123 relevant articles, this study employed complementary methods, such as author bibliographic coupling, linguistic text mining/textual analysis and qualitative content analyses.

This paper first maps the intellectual structure and boundaries of the DSI-related communities and qualitatively assesses their characteristics. These communities are (1) Innovation for digital servitization, (2) Service innovation in the digital age and (3) Adoption of novel e-services enabled by information system development. Next, the composition of the DSI concept is examined and depicted to comprehend the notion's critical dimensions. The findings discuss the range of theories and methods in the existing research, including antecedents, processes and outcomes of DSI.

This study reviews, extends the understanding of origins and critically evaluates DSI-related research. Moreover, the paper redefines and clarifies the structure and boundaries of the DSI-concept. In doing so, it elaborates on the substance of DSI and identifies the essential themes for its understanding and conceptualization. Thus, the study helps the future development of the concept and allows knowledge accumulation by bridging adjacent research communities. It helps researchers and managers navigate the foggy emerging research landscape.

This study aims to investigate the effects of organizational culture factors on the selection of software process development models and develops a conceptual model for selecting and adopting process development models with an organizational culture approach, using 12 criteria and their sub-criteria defined in Fey and Denison’s model (12 criteria).

The research hypotheses were investigated using statistical analysis, and then the criteria and sub-criteria were selected based on Fey and Denison’s model and the experts’ viewpoints. Afterward, the organizational culture of the selected company was measured using the data from 2016 and 2017, based on Fey and Denison’s questionnaire. Due to the correlation between the criteria, using the decision-making trial and evaluation technique, the correlation between sub-criteria were determined, and by analytical network process method and using Super-Decision software, the process development model was preferred to the 12 common models in information systems development.

Results indicated a significant and positive effect of organizational culture factors (except the core values factor) on the selection of development models. Also, by changing the value of organizational culture, the selected process development model changed either. Sensitivity analysis performed on the sub-criteria implied that by changing and improving some sub-criteria, the organization will be ready and willing to use the agile or risk-based models such as spiral and win-win models. Concerning units where the mentioned indicators were at moderate and low limits, models such as waterfall, V-shaped and incremental worked more appropriately.

While many studies were performed in comparing development models and investigating their strengths and weaknesses, and the impact of organizational culture on the success of information technology projects, literature indicated that the impact of organizational sub-culture prevailing in the selection of development process models has not been investigated. In this study, new factors and indicators were addressed affecting the selection of development models with a focus on organizational culture. Correlation among the factors and indicators was also investigated and, finally, a conceptual model was proposed for proper adoption of the models and methodologies of system development.

Purpose of this study is to explore the nature of relationship between internationalization of firms, sustainability of their supply chains, and the extent of their green innovations. Understanding of the relationship between these constructs is important because of the ever increasing sustainability awareness of consumers in the leading economies of the world. This awareness is now compelling importers of goods from cheap-labor countries to ensure that their suppliers comply with sustainability regulations. This compliance becomes very challenging because of the lack of control on second-tier and third-tier suppliers in a supply chain. First-tier suppliers in this case may drive this effort but need to be motivated enough to do so. In case of environmental sustainability, green innovation (GI) may provide a gradual, and thus more affordable and practical, move toward more eco-friendly ways. As far as the motivation to commit to sustainability and GI is concerned, internationalization and export business expansion may act as one of the most effective motivators for these suppliers. However, the nature of relationship between these three constructs, i.e. internationalization of firms, sustainability of their supply chains and the extent of their GI requires a better understanding.

The work uses a novel data set collected from 146 medium and large textile firms operating in Pakistan. The partial least square-structural equation modeling approach is used for data analysis.

All three constructs of internationalization, GI and sustainable supply chain management (SSCM) are significantly associated and thus complement each other.

This work uses a novel agency theory perspective to analyze the relationship between internationalization, GI and SSCM. In that sense, the findings indicate that internationalization could be one of the incentives that can be used by the principals to deal with agents’ goal conflict and information asymmetry.

This study aims to build an integrated model for information technology (IT)/information system (IS) team exploration and exploitation innovation in the business-to-business (B2B) enterprise context by empirically investigating the mediating role of tacit-explicit knowledge co-creation and exploring the behavior approach of servant leaders for IT/IS team exploration-exploitation innovation.

The authors' analysis was supported by 182 enterprise-IT/IS teams (403 participants) in Taiwan. The authors used a questionnaire and Structural Equation Model (SEM)-SmartPLS to validate the development model. This study examines IT/IS exploration-exploitation innovation using a combination of quantitative survey research and qualitative case studies.

The specific roles of direct and mediating effects for two innovations of IT/IS team exploration and exploitation were investigated. The findings show a direct effect of knowledge creation (tacit and explicit) on IT/IS team exploration-exploitation innovation. Servant leader behavior positively influences tacit-explicit knowledge co-creation practices, IT/IS team exploration and exploitation. Moreover, knowledge creation (tacit and explicit) successfully mediates the correlation between servant leaders and IT/IS team innovations (for exploration and exploitation).

Managers, IT/IS consultants and enterprises at the executive level are suggested to encourage knowledge co-creation practices, both tacit and explicit to support their IT/IS team innovation. The greater the degree of explicit knowledge (i.e. socialization and internalization) and tacit knowledge creation (i.e. externalization and combination), the greater will be the opportunities for meeting the enterprise-IT/IS team exploration and exploitation innovation goals. The project manager may follow servant leadership behavior to promote effective knowledge co-creation process on the IT/IS team.

This effort contributes to greater and new understanding of how ambidexterity capability, tacit-explicit knowledge co-creation (mediators) and servant leaders for IT/IS team exploration-exploitation innovation in the B2B enterprise context and new foundations for future studies on a cross-enterprise IT/IS team. This research is also the first empirical effort to understand how a servant perspective leadership contributes through the knowledge co-creation process for IT/IS exploration-exploitation innovation.

This paper aims to (1) identify the different performance drivers (lead indicators) and outcome measures (lag indicators) investigated in the literature concerning the four balanced scorecard (BSC) perspectives in operations management (OM) contexts and (2) understand how performance drivers and outcome measures (and substantiated perspectives) are related.

We undertake a systematic literature review of the BSC literature in OM journals. From the final sample of 40 articles, performance drivers and outcome measures have been identified, and the relationships amongst them have been synthesised according to the system dynamics approach.

Findings show (1) the most relevant performance drivers and outcome measures within each BSC perspective, (2) their relationships, (3) how the perspectives are linked through the performance drivers and outcome measures and (4) how the different measures relate systemically. Accordingly, four causal loops amongst identified measures have been built, which – jointly considered – allowed for the creation of a dynamic strategy map for OM.

This study is the first one that provides a comprehensive and holistic view of how the different performance drivers and outcome measures within and between the four BSC perspectives in OM relate systemically, increasing the knowledge and understanding of scholars and practitioners.

This study aims to investigate the relationships between affective commitment (AC), innovative work behavior (IWB) and organizational socialization strategies (training, coworker support, understanding and future prospects) to ensure the viability and prosperity of businesses in Iraq.

The methodology includes demographic analysis, confirmatory factor analysis and structural equation modeling.

An analysis of survey data based on a random sample of participating employees shows that training, understanding and future prospects all significantly and positively affect employee AC. Coworker support does not significantly affect AC. Employees’ AC to their companies significantly positively affects their IWB. Employees’ AC to their companies significantly mediates the relationships between training, understanding, future prospects and IWB. Company practices regarding training, understanding, coworker support and future prospects do not affect employees’ IWB.

The authors conducted the study in Sulaymaniyah. The results may not apply to Iraq and other nations. Researchers from various industries and countries can evaluate the model. The research ignores company age, size and fit between individuals and organizations.

The study closes a research gap in organizational behavior by exploring the association between managerial socialization strategies, AC and creative work behavior in Iraq.

Doctoral students are promising entrepreneurial actors in university-based ventures, which positively impact the external environment and create value for their universities. In this article, the authors extend current research on academic entrepreneurship by shedding light on the role of university support in the early stage of Ph.D. entrepreneurship. Based on social information processing theory, the authors posit that academic entrepreneurship results from the interplay between doctoral students' human capital and university-level support. A multilevel model is proposed and empirically tested to shed light on the cradle of doctoral students' entrepreneurship by explaining the variance of their entrepreneurial alertness and intentions.

A model is proposed that explains the combined effect of specific human capital and different forms of university support on doctoral students' cognitive transition from entrepreneurial alertness to intentions. The model was then tested through structural equation modeling (SEM) and multigroup analysis (MGA) on a sample of 187 doctoral students enrolled in Italian universities.

The SEM results reveal that doctoral students' entrepreneurial alertness is influenced by perceived educational support and human capital. The MGA demonstrates that those who perceive a higher level of support for concept and business development from universities are more likely to convert their alertness into intentions than those who perceive lower support.

The present paper brings to the stage doctoral students as an extremely promising entrepreneurial target. In doing so, it extends academic entrepreneurship studies by detailing how and when the different forms of university support influence their entrepreneurial decisions, along with individual dimensions.

This study aims to present a methodology and a system to support the technical and managerial issues involved in anomaly detection within the reverse logistics process of an e-commerce company.

A case study approach is used to document the company’s experience, with interviews of key stakeholders and integration of obtained evidence with secondary data.

The paper presents an algorithm and a system to support a more efficient and smart management of reverse logistics based on a set of anticipatory actions, and continuous and automatic monitoring of returned goods. Improvements are described in terms of a number of key performance indicators.

The analysis and the developed system need further applications and validations in other organizational contexts. However, the research presents a roadmap and a research agenda for the reverse logistics transformation in Industry 4.0, by also providing new insights to design a multidimensional performance dashboard for reverse logistics.

The paper describes a replicable experience and provides checklists for implementing similar initiatives in the domain of reverse logistics, in the aim to increase the company’s performance along four key complementary dimensions, i.e. time savings, accuracy, completeness of data analysis and interpretation and cost efficiency.

The main novelty of the study stays in carrying out a classification of anomalies by type and product category, with related causes, and in proposing operational recommendations, including process monitoring and control indicators that can be included to design a reverse logistics performance dashboard.