A Systematic Literature Review about the Speed of Internationalization

The speed of internationalization or rapid internationalization is one of the most fascinating and researched topics in international business due to its practical importance for the international competitiveness of international firms. This paper aims to identify the determiners of internationalization speed using a systematic literature review of more than 50 current, peer-reviewed articles as research method. Based on an analysis of the topical evolution of the main internationalization theories, the main determiners of internationalization speed are categorized in environmental framing conditions, business resources, and business activities. To advance research about the determiners of internationalization speed, this paper suggests a conceptual framework of three research propositions about the impact of internationalization speed and its variations over time and in different industries and markets using sophisticated research methods to establish causal relationships.

Machine Learning Algorithms as a Computer-Assisted Decision Tool for Oral Cancer Prognosis and Management Decisions: A Systematic Review

<b><i>Introduction:</i></b> Despite multiple prognostic indicators described for oral cavity squamous cell carcinoma (OCSCC), its management still continues to be a matter of debate. Machine learning is a subset of artificial intelligence that enables computers to learn from historical data, gather insights, and make predictions about new data using the model learned. Therefore, it can be a potential tool in the field of head and neck cancer. <b><i>Methods:</i></b> We conducted a systematic review. <b><i>Results:</i></b> A total of 81 manuscripts were revised, and 46 studies met the inclusion criteria. Of these, 38 were excluded for the following reasons: use of a classical statistical method (<i>N</i> = 16), nonspecific for OCSCC (<i>N</i> = 15), and not being related to OCSCC survival (<i>N</i> = 7). In total, 8 studies were included in the final analysis. <b><i>Conclusions:</i></b> ML has the potential to significantly advance research in the field of OCSCC. Advantages are related to the use and training of ML models because of their capability to continue training continuously when more data become available. Future ML research will allow us to improve and democratize the application of algorithms to improve the prediction of cancer prognosis and its management worldwide.

Omnichannel Business

The widespread diffusion of digital technologies along with evolving consumer behaviors and requirements have fostered the emergence of omnichannel businesses, i.e., firms that can exploit integrated processes and information systems to realize a seamless and consistent consumer experience across a plenitude of digital and physical channels. To date, omnichannel research has been cluttered and characterized by significant terminological ambiguity that creates unnecessary challenges for researchers and markeeters trying to navigate and advance research and practice in this area. This fundamentals article seeks to address this problem by presenting a definition of omnichannel business that is grounded in its unique characteristics involving technology, organizational, and market perspectives and clearly distinguishes omnichannel from other terms, such as multi-channel or cross-channel. We leverage this conceptual clarity to analyze and structure the previous research on omnichannel business and conclude with an integrated framework that signifies fields of interest for future omnichannel business research.

Effects of social value orientation (SVO) and decision mode on controlled information acquisition—A Mouselab perspective

Insights into the processes underlying observed decisions are crucial for a comprehensive understanding of behavior. We investigate how individual social value orientation (SVO) relates to controlled information acquisition and how this relationship may be governed by intuitive versus reflective decision modes. We measure controlled information acquisition with the process tracing tool Mouselab and demonstrate its potential for advancing research on social decision-making. In two experiments, participants worked on two consecutive SVO tasks, in which they allocated points between themselves and others. Information regarding the available distributions of points had to be actively acquired by moving the mouse cursor over corresponding boxes on the screen. We observed a stable relationship between SVO and controlled information acquisition in both experiments: less selfish participants acquired more information and made more other-oriented acquisitions, and this relationship showed up in both an intuitive and a reflective decision mode. However, participants in a reflective decision mode acquired more information, their acquisitions were more strongly other-oriented, and their decisions were more prosocial compared to participants in an intuitive mode. Taken together, our results advance research on SVO by showing that non-selfish individuals invest considerable time and effort to gauge the consequences of their decisions for others, which might underlie the pervasive effects of SVO on many socially relevant behaviors. Moreover, we demonstrate how intuitive versus reflective decision modes can alter controlled information acquisition. Finally, our results illustrate that Mouselab is a simple-to-use and versatile tool for tracing cognitive processes underlying social psychological phenomena.

Autoethnography in Information Science Research

This chapter examines the concept of autoethnography as a qualitative research method. It aimed to investigate the critical question of the importance of autoethnography as a transformative scientific research method for the purpose of generating and sharing knowledge to advance research in information science. The chapter is an exploratory study investigating the current context of autoethnography in information science, its applicability to the field for transformative learning and knowledge sharing, and possible challenges to be experienced. Findings indicate the potential of the autoethnographic method to provide the opportunity for information professionals to study experiences of information use in diverse contexts of information science. Recommendations highlight the viability of the application of sense making theory and the information search process (ISP) model to research practices in autoethnography by information scientists.

How time-inconsistent preferences influence venture capital exit decisions? A new perspective for grandstanding

Considering that the assumption of time consistency does not adequately reveal the mechanisms of exit decisions of venture capital (VC), this study proposes two kinds of time-inconsistent preferences (i.e., time-flow inconsistency and time-point inconsistency) to advance research in this field. Time-flow inconsistency is in line with the previous time inconsistency literature, while time-point inconsistency is rooted in the VC fund’s finite lifespan. Based on the assumption about the strategies guiding future behaviors, we consider four types of venture capitalists: time-consistent, time-point-inconsistent, naïve, and sophisticated venture capitalists, of which the latter three are time-inconsistent. We derive and compare the exit thresholds of these four types of venture capitalists. The main results include: (1) time-inconsistent preferences accelerate the exits of venture capitalists; (2) the closer the VC funds expiry dates are, the more likely time-inconsistent venture capitalists are to accelerate their exits; and (3) future selves caused by time-flow inconsistency weaken the effect of time-point inconsistency. Our study provides a behavioral explanation for the empirical fact of young VCs’ grandstanding.

Theoretical and Methodological Approaches for Investigating Open Educational Practices

To date, the phenomenon associated with open education in relation to teaching and learning practices remains under-theorized in the literature, which represents both a challenge and opportunity for further research (Bulfin et al., 2013; Howard & Maton, 2011; Knox, 2013; Veletsianos, 2015). There exists an opportunity to develop new theory, as well as to connect the phenomenon to existing theory from education, learning sciences, and pedagogical research. Much of the literature has focused on case studies, strategies for implementation, and broad approaches to institutional change which do not draw upon or develop theory. A significant amount of the empirical work reviewed makes no mention of a theoretical base aside from that of openness as a conceptual framework for considering education. Further, critical studies which examine the pedagogical and educational implications of the use of open educational resources (OER) and engagement in open educational practices (OEP) are even less common (Knox, 2013). In this paper, we share the results of a literature review which investigates both methodological and theoretical approaches used in the available research on open educational practices, with the goal of engaging participants in a critical review of the theoretical and methodological approaches to further advance research in this emerging space.

Tracking telecollaborative tasks through design, feedback, implementation, and reflection processes in pre-service language teacher education

Telecollaborative exchanges between students from different countries are increasingly becoming a common practice in foreign language education and calling for new teacher competences for task design in order to maximize interactional opportunities in these settings. Considering that tasks are dynamic in nature and subject to constant change from their initial design to implementation by L2 learners, there is a need for teacher training activities promoting opportunities for improving the required digital and pedagogical competences. With this in mind, this paper sets out to explore the interactional architecture of the multiple steps involved in the training of pre-service language teachers in pedagogical task design for telecollaboration-oriented video-mediated interactional settings. We describe the procedural unfolding of the telecollaborative tasks by analyzing (i) pre-service teachers’ collaborative design meetings and (ii) written design reports; (iii) peer and mentor evaluation of these design ideas in whole-class feedback sessions in teacher training classrooms; (iv) written reports of redesigns after the feedback session, (v) video-mediated implementation by telecollaborative task participants, and finally (vi) pre-service teachers’ written reflections based on the implementation of their own designs. We use Conversation Analysis to closely examine audio and screen-recording data and draw on the textual data to present the procedural unfolding of two tasks over multiple phases, namely design, feedback, implementation, and reflection. The findings show that a telecollaborative task is a co-construction by the pre-service teachers as task designers, the teacher trainer as the mentor, and the L2 learners as the end users in interactionally trackable ways across the teacher education events. The results bring insights into the novel sets of digital, pedagogical, and interactional competencies in L2 contexts. We conclude that task enhanced telecollaboration holds great potential to critically advance research and practice in L2 teaching and teacher education worldwide.