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Purpose – To provide strategic management scholars, particularly graduate students and new faculty members, a novel approach, the lens model, to investigate emerging economies phenomena.

Design/methodology/approach – Based on a review of the strategic management literature and a search of the strategy databases and journals, I propose the lens model approach and discuss its origins, development, and designs since its introduction. It has been used extensively in such fields as cognitive psychology, social psychology, medicine, agriculture, human resources management, and organizational behavior. Besides the wide application, it has relevance for strategic management research.

Findings – An illustrative study and a summary of the approach from a previous study in one prominent journal are also provided as guides. I conclude by providing recommendations on what to consider in using the approach for the study of emerging economies.

Research limitations/implications – In addition to the strengths of the approach, its weaknesses are also discussed. Suggestions on maximizing the potential of the approach are also discussed.

Practical implications – The approach is an invaluable source particularly for graduate students of strategy who often are unfamiliar with microlevel approaches. They can use it to supplement approaches for strategic management.

Originality/value – To my knowledge, this chapter is the first to discuss the lens model approach in the strategic management literature. In that regard, it fills a gap in the research methodology literature. It can therefore help graduate students improve their careers.

Directed energy deposition (DED) with laser powder-feed is an additive manufacturing process that is used to produce metallic components by simultaneously providing a supply of energy from a laser and mass from a powder aerosol. The breadth of alloys used in DED is currently limited to a very small range as compared to wrought or cast alloys. The purpose of this paper is to develop the new alloys for DED is limited because current models to predict operational processing parameters are computationally expensive and trial-and-error based experiments are both expensive and time-consuming.

In this research, an agile DED model is presented to predict the geometry produced by a single layer deposit.

The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed. The proposed model incorporates concepts from heat transfer, welding and laser cladding; and integrates them with experimental fits and physical models that are relevant to DED.

The utility of the model is demonstrated for type 304 L stainless steel and the significance of the predicted deposition regimes is discussed.

Business process modeling faces a difficult balance: on the one hand, organizations seek to enact, control and automate business processes through formal structures (procedures and rules). On the other hand, organizations also seek to embrace flexibility, change, innovation, value orientation, and dynamic capabilities, which require informal structures (unique user experiences). Addressing this difficulty, the authors propose the composite approach, which integrates formal and informal process structures. The composite approach adopts a socio-material conceptual lens, where both material and human agencies are supported.

The study follows a design science research methodology. An innovative artifact – the composite approach – is introduced. The composite approach is evaluated in an empirical experiment.

The experimental results show that the composite approach improves model understandability and situation understandability.

This research explores the challenges and opportunities brought by adopting a socio-material conceptual lens to represent business processes.

The study contributes an innovative hybrid approach for modeling business processes, articulating coordination and contextual knowledge. The proposed approach can be used to improve model understandability and situation understandability. The study also extends the socio-material conceptual lens over process modeling with a theoretical framework integrating coordination and contextual knowledge.

Intercultural interactions, in domains such as civil aviation and international peacekeeping, expand awareness of national differences in cognition. At the same time, experience with national differences in natural settings provides a more complex picture of cognition. The Cultural Lens Model captures the nature and origin of the cognitive differences. This paper reviews cognitive dimensions that vary over national groups. It uses the Cultural Lens Model to describe the implications of these cognitive differences for five intercultural challenges: problem definition, planning, coordination, prediction, and training. Finally, the paper suggests mechanisms for increasing international effectiveness in the face of cognitive differences.

Previous researchers (eg. Libby, 1976 and Salamon et al., 1976) have proposed three alternative strategies for improving decisions: (1) changing the information set; (2) replacing the decision maker with a model; and (3) training the user (e.g. with the use of feedback information). The present research focusses on the role of feedback in the prediction of corporate failure. The effect of various types of feedback on human judgments is examined in the present study in two ways. The first section of the paper extends Kessler and Ashton's (1981) study which looked at the impact of several alternative types of feedback. Using 173 advanced undergraduate students as subjects, we find that, contrary to general expectations, both task properties and lens model feedback are not effective for decisions taken within a financial accounting context. Several possible explanations are given for this result. The second section of the paper examines the effect of outcome feedback within a financial accounting context. The participants in this study were 40 advanced undergraduate students. We found that outcome feedback is an effective means for promoting learning even where the task is not highly predictable.

Artificial electromagnetic (EM) medium and devices are designed with integrated micro- and macro-structures depending on the EM transmittance performance, which is difficult to fabricate by the conventional processes. Three-dimensional (3D) printing provides a new solution for the delicate artificial EM medium. This paper aims to first review the applications of 3D printing in the fabrication of EM medium briefly, mainly focusing on photonic crystals, metamaterials and gradient index (GRIN) devices. Then, a new design and fabrication strategy is proposed for the EM medium based on the 3D printing process, which was verified by the implementation of a 3D 90o Eaton lens based on GRIN metamaterials.

A new design and manufacturing strategy driven by the physical (EM transmittance) performance is proposed to illustrate the realization procedures of EM medium based device with controllable micro- and macro-structures. Stereolithography-based 3D printing process is used to obtain the designed EM device, an GRIN Eaton lens. The EM transmittance of the Eaton lens was validated experimentally and by simulation.

A 3D 90o Eaton lens was realized based on GRIN metamaterials structure according to the proposed design and manufacturing strategy, which had the broadband (12-18 GHz) and low loss characteristic. The feasibility of 3D printing for the artificial EM medium and GRIN devices has been verified for the further real applications in the industries.

The applications of 3D printing in artificial EM medium and devices were systematically reviewed. A new design strategy driven by physical performance for the EM device was proposed and validated by the firstly 3D printed 3D Eaton lens.

This study aims to examine the process of frugal innovation (FI) in micro- and small-enterprises (MSEs) at the base of the pyramid (BOP) through the analytical lens of business models.

A case study was conducted with 30 MSEs from three different industries in a very poor region in Brazil.

The findings indicate that, in cases where FI is intense and dynamic, the start of the FI process is based on the reinterpretation of fashion trends and influences from the business ecosystem while the consolidation of FI in MSEs occurs through the reconfiguration of resources. Additionally, this study shows that FI depends on conditions other than the production of frugal products for BOP consumers.

This study points out that the presence of end-of-life non-BOP raw materials distributed by large distributors in the case of fashion products, along with the interaction between MSEs at the BOP and these distributors, trigger FI and are profitable for both. For non-fashion products with long life cycles, there is no demand for innovation.

This study addresses the research void present in the literature on FI by presenting the process of FI and the conditions that leverage or stagnate FI in MSEs at the BOP, as well as how business models are shaped by these conditions.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

In this study the factors behind the decision‐makers’ erroneous judgements regarding failure prediction (classification of firms as bankrupt and non‐bankrupt) are analysed. The purpose is to find out the factors causing incorrect responses, i.e. the cases in which the decision‐maker is for some reason incapable of using the given information to arrive at the correct classification. The following five possible sources of disturbance in this decision‐making were hypothesized: firm‐specific factors, data, decision‐maker‐specific factors, external factors, and failure process. In further analysis these factors were empirically operationalized and their significance was tested applying logistic (logit) analysis separately for the Type I and Type II classification errors identified in an HIP study. The results indicated that the effect of all of the five hypothesized factors on misclassifications is statistically significant. The inconsistency of the cues (firm‐specific factors) may be the main factor causing errors in evaluation. Moreover, the failure process is another important factor (Type I error). Thus, human bankruptcy prediction can be improved mainly by checking the consistency of financial statements (that they give a true view of the firm’s economic status) and by paying special attention to timely identification of the possible failure process. Future HIP studies on bankruptcy prediction and also other economic events should pay attention to control the kinds of sources of disturbance identified in this study, to maintain validity.

Scholars in the field of higher education take many approaches to apply theory in empirical research. However, this wide array of theoretical applications has prompted confusion among scholars who seek to integrate and understand how theory is situated in higher education research. This chapter explores the conceptualization, application, and visibility of theory in higher education research by presenting discourse from field leaders and discussing methodological definitions of theory, theoretical frameworks, and conceptual frameworks. Additionally, we conducted a summative content analysis of 239 empirical articles from the Review of Higher Education over a 10-year period, with the goal of understanding how theories were framed and applied in a subset of research. We conclude by reiterating the importance of theory in the study of higher education and providing strategies for effective theory application.