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This descriptive study explored how community colleges are teaching leadership in technical programs. Leadership education curricular offerings were identified via a survey and selected programs reviewed. 68 Deans, Directors, or Chairpersons of a Business, Management, or Technology program completed the survey, representing 61 community colleges. A review of four programs was conducted through web searches and interviews of leaders representing two of these programs were conducted. Leadership education is an emerging area for community colleges; one that is narrowly defined as workplace readiness, communication, and confidence building activities. There appears to be a need for technical programs to teach students leadership skills, as well as technical skills. Further research is needed to determine which leadership skills are needed for technologists at the community college level.

As leadership continues to be a targeted outcome of student learning within higher education, university faculty are left with the challenge of how to best teach and develop leadership in college students. Students are a key component of undergraduate leadership education; their motivations, learning goals, and understanding of their experiences in leadership programs. However, the research on undergraduate leadership programs from the students’ perspectives is relatively scarce and limited in scope. To address this gap in the literature, we surveyed 130 current students and alumni of one leadership minor program and interviewed coordinators of seven other leadership minor programs. Our mixed methodology allowed us to capture unique insights regarding the perceived benefits and challenges of a leadership undergraduate minor.

Dubbed as the “first digital generation,” the millennials (or Generation Y) have been ensconced in digital technologies throughout their lives. As a demographic cohort, the eldest members of Generation Y were the first to reach adulthood by 2001, which heralded the third millennium, and were, therefore, called the millennials.

This research study theorizes that the millennials are ushering an emerging post-digital era that is redefining how we live, work, and play. By situating media consumption within a cross-disciplinary context of mediated engagement, this study analyzed how millennials consume media based on a 2019 meta-analytical research analysis of 22 cross-disciplinary studies, published between 2015 and 2019.

This research study analyzes how millennials curate and engage with digital media and information content in the midst of incessant evolutions of their identity, media use, and digital life. This study explicates six theoretical insights into how millennials consume information and engage with media. In their pursuit of easy access to media, the millennials get most of their information and media content from social media.

In theorizing how millennials engage with digital media, this study explicates important conceptual trends such as incidental news exposure (INE), which refers to people stumbling upon news stories they otherwise would not have purposefully seen or sought. INE spawns “bumpers” who involuntarily bump into news items, as opposed to “seekers” who actively search or seek news content. This leads to the news-finds-me mindset among some passive news consumers who rely and expect other active news consumers to share important news and information.

This paper aims to review past papers focused on understanding consumer-related topics in marketing and related interdisciplinary fields to demonstrate the applications of electroencephalogram (EEG) in consumer neuroscience.

In addition to the review of papers using EEG to study consumer cognitive processes, the authors also discuss relevant decisions and considerations in conducting event-related potential (ERP) studies. Further, a framework proposed by Plassmann et al. (2015) was used to discuss the applications of EEG in marketing research from papers reviewed.

This paper successfully used Plassmann et al.’s (2015) framework to discuss five applications of neuroscience to marketing research. A review of growing EEG studies in the field of marketing and other interdisciplinary fields reveals the advantages and potential of using EEG in combination with other methods. This calls for more research using such methods.

A technical overview of ERP-related terminology provides researchers with a background for understanding and reviewing ERP studies. A discussion of method-related considerations and decisions provides marketing researchers with an introduction to the method and refers readers to relevant literature.

The marketing industry has been quick to adopt cutting edge technology, including EEG, to understand and predict consumer behavior for the purpose of improving marketing practices. This paper connects the academic and practitioner spheres by presenting past and potential EEG research that can be translatable to the marketing industry.

The authors review past literature on the use of EEG to study consumer-related topics in marketing and interdisciplinary fields, to demonstrate its advantages over-traditional methods in studying consumer-relevant behaviors. To foster increasing use of EEG in consumer neuroscience research, the authors further provide technical and marketing-specific considerations for both academic and market researchers. This paper is one of the first to review past EEG papers and provide methodological background insights for marketing researchers.

Computers and computer‐assisted instruction are being used with increasing frequency in the area of health science student education, yet students’ attitudes towards the use of e‐learning technology and computer‐assisted instruction have received limited attention to date. The purpose of this study was to investigate the significant predictors of health science students’ attitudes towards e‐learning and computer‐assisted instruction. All students enrolled in health science programmes (n=2885) at a large multi‐campus Australian university in 2006‐2007, were asked to complete a questionnaire. This included the Online Learning Environment Survey (OLES), the Computer Attitude Survey (CAS), and the Attitude Toward Computer‐Assisted Instruction Semantic Differential Scale (ATCAISDS). A multiple linear regression analysis was used to determine the significant predictors of health science students’ attitudes to e‐learning. The Attitude Toward Computers in General (CASg) and the Attitude Toward Computers in Education (CASe) subscales from the CAS were the dependent (criterion) variables for the regression analysis. A total of 822 usable questionnaires were returned, accounting for a 29.5 per cent response rate. Three significant predictors of CASg and five significant predictors of CASe were found. Respondents’ age and OLES Equity were found to be predictors on both CAS scales. Health science educators need to take the age of students and the extent to which students perceive that they are treated equally by a teacher/tutor/instructor (equity) into consideration when looking at determinants of students’ attitudes towards e‐learning and technology.

This study aims to examine how the theory of planned behaviour and technology acceptance theory can be used to understand the adoption of non-pharmaceutical interventions (NPIs). The relationships between attitudes, behavioural intentions towards using NPIs, actual use of NPIs and word-of-mouth (WOM) were examined and compared between early and late adopters.

A survey was conducted to test the hypotheses with partial least squares structural equation modelling (n = 278).

The results indicate that relationships between attitudes, intentions and behavioural intentions were positive and significant in the whole data set – and that there were differences between the early and late adopters. WOM had no substantial relationship with actual usage and early adopters’ behavioural intentions.

This research gives a better sense of how WOM impacts attitudes, behavioural intentions and actual usage among early and late adopters of NPIs and highlights the effectiveness of WOM, especially among late adopters of NPIs. Furthermore, using the TAM allows us to make specific recommendations regarding encouraging the use of NPIs. A new three-stage communications model is introduced that uses early adopters as influencers to reduce the NPI adoption time by late adopters.

Virtual try-on (VTO) technology offers an opportunity for fashion and beauty brands to provide enriched self-explorative experiences. The increased popularity of VTOs makes it urgent to understand the drivers and consequences of the exploration of styles in VTO contexts (herein called self-explorative engagement). Notably, little is known about the antecedent and outcomes of the personalized self-explorative experience central to VTOs. This paper aims to fill this knowledge gap.

An online quasi-experiment (N = 500) was conducted in the context of fashion and beauty VTOs. Participants were asked to virtually try on sunglasses or lipsticks and subsequently answer a questionnaire measuring the key constructs: self-presence (i.e. physical similarity and identification), self-explorative engagement (i.e. exploration of styles in VTO context), brand cognitive processing and brand attitude. The authors analyze the data with structural equation modeling via maximum likelihood estimation in LISREL.

The experience of self-presence during consumers’ use of VTOs in augmented reality environments has a positive effect on self-explorative engagement. Furthermore, a mediation analysis reveals that self-explorative engagement improves brand attitude via brand cognitive processing. The results are confirmed for two popular fashion and beauty brands.

Grounded in extended self theory, to the best of the authors’ knowledge, this is the first study to show that a realistic VTO experience encourages self-extension via a process starting from the exploration of styles and results in increased brand cognitive processing and more positive brand attitudes. The exploration of styles is enabled by self-presence.

Firms are subject to power from both upstream and downstream partners; those partners may have different or even opposing impacts on supply chain relationships and financial performance. The purpose of this study is to investigate how upstream and downstream dependence structures affect a firm's financial performance through upstream and downstream relational depth (DEP) and relationship extendedness (EXT).

Data representing both upstream and downstream supply chain perspectives was collected using a multiple-respondent survey and was further augmented using financial performance data from an archival database.

Dependence advantages (ADVs) and disadvantages from upstream and downstream partners affect relational mechanisms and firm performance differently. Only downstream ADV will enhance a firm's DEP and EXT and subsequently affect firm's revenue and profit. Contradictory to widely held belief, the results reveal that firms that maintain long-term relationships with buyers and suppliers may experience lower revenue/profit.

This research represents a significant step in understanding the economic ramifications of dependence by (1) highlighting the difference between upstream and downstream supply chain dependence structure and (2) understanding the indirect effects of dependence structure on financial performance.

The outcome of product development, i.e. the product design, together with the packaging solution, has a great impact on the logistics performance of supply chains. Despite this, packaging has traditionally been given a very modest role in the product development literature as well as in the logistics literature. The aim of this paper is to show how logistics performance and product design can be affected, and improved, by the packaging organization within a company.

A single case study has been conducted at IKEA, including on‐site interviews and review of internal documents. Along with the case study, a literature study has been conducted within the areas of product development, packaging and logistics.

The IKEA case suggests that the packaging function should have a strong link to both the logistics function and the product development function within a product‐developing company to be able to improve the logistics performance.

As the evidence is collected through a single case study, the results are not to be seen as generalizable but should be regarded as a first step to future research within the interface of product development, packaging and logistics.

Packaging and logistics are usually considered late in the product development process with the result that possible logistics solutions are constrained. Through considering “the whole package” – i.e. the product, the packaging and the supply chain characteristics – at an early stage in the product development process, savings can be made.

This paper includes the aspects of product development, logistics and packaging, an interface with very limited research contributions.