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Underpinned by the consumer-based model of authenticity (CBA), this study aims to investigate whether leisure involvement, object-based and existential authenticity, host sincerity and engagement stimulate positive memorable visitor experiences in a distinctive commercial hospitality setting: a living history site.

Quantitative data were gathered from living history site visitors (n = 1,004), with partial least squares structural equation modeling used to test the hypothesized relationships.

The results confirm the inclusion of the hypothesized relationships between leisure involvement, sincerity and authenticity, relative to engagement and subsequent memorability. The findings suggest that engagement can be a predictor of a positive memorable experience, contingent on CBA constructs (sincerity; object-based authenticity; existential authenticity). The significant association between object-based authenticity and memorable experience identified herein differs from some published studies, while other results are broadly consistent with extant research. Results also reveal significant differences for visitors who purchased souvenirs when compared to those who did not.

The research extends the CBA by positing sincere hospitality as a relationship-based encounter between host and guest that influences social interaction, engagement and memorability within the novel living history site context. Further, the ability to differentiate visitors based on their purchases at the site is illustrated.

Given the ubiquity of engagement and authenticity as precursors to memorable experiences within contemporary commercial hospitality and heritage discourses, the findings apply to hospitality experiences beyond the living history site context examined herein.

Emphasizing the role of residents as destination advocates, the purpose of this paper is to investigate the influence of residents’ familiarity with, and, favorability of attractions on destination image.

A mixed methods research strategy was employed using 15 individual in-depth interviews and a survey questionnaire with a sample of n=364. The study utilizes an attraction familiarity index to classify respondents into four groups based on high, average, and low familiarity and examines the characteristics of each in the relationship between informational familiarity, experiential familiarity, and favorability and destination image.

The study reveals resident perceptions of attractions within the tourism product assembly framework and illustrates the positive relationship between the residents’ level of familiarity with, and favorability of visitor attractions and destination image. Further, the findings also demonstrate the significant role of demographic characteristics such as gender and length of residency in the area. The study findings suggest that temporary residents can function as destination advocates.

Employees and students from a prominent northeastern university were sampled, representing local residents and temporary residents respectively. While appropriate and fairly representative of the target market for the research questions in this investigation, more work is required to replicate this study utilizing representative samples across different locations.

Evidence from the study indicates the importance of marketing to residents as they serve as destination advocates. In particular, the residents’ familiarity with and favorability of attractions is critical to positive destination image. The research offers insights into the identification of potential segments of residents that require special attention.

Limited existing research investigates the role of residents as destination advocates, especially in the context of destinations that lack a primary tourism attraction but have a well-balanced mix of attractions.

This research aims to classify and describe food festivals and examine the patterns in food festival naming and festival descriptions in online media.

This research represents the first population-level empirical examination of food festivals in the United States using a purpose-built dataset (N = 2,626). Methodology includes text mining to examine food festival communications.

Food festival size varies across local and regional spheres within the country. Food festivals employ geographical (place-, destination-based) associations in their names. Food festivals' descriptions and online communications showcase a welcoming environment predominantly emphasizing family-oriented and live entertainment experiences. Food festivals across the country show common naming patterns based on the elements of longevity, recurrence, location name, brand name, geographic scope, theme, and occasion.

The study makes an original contribution to the theory and practice by identifying festival forms, styles, functions, and their diversity. A population level examination of food festivals does not currently exist. Therefore, this research will serve as a foundation for scholarly work in the future and as a benchmark for evaluating current and future research.

The purpose of this paper is to screen for iron bioavailability and absorption-promoting activity in selected herbs. Evidence is needed to promote and practice food-based strategies such as use of plants or their parts for treating iron deficiency anemia.

Eight Indian herbs, considered to be iron rich and/or hematinic, namely, Boerhavia diffusa, Trachyspermum ammi, Amaranthus paniculatus, Lepidium sativum, Medicago sativa, Asparagus racemosus, Sesamum indicum and Piper longum, were selected. Their mineral composition and phytate and tannin contents were analyzed. Endogenous iron bioavailability was assessed in human enterocyte cell line model, Caco-2 cells, using cellular ferritin induction. Iron absorption-promoting activity was tested similarly in two herbs and their mineral extract by the addition of exogenous iron or ascorbic acid.

Based on compositional analysis, B. diffusa, L. sativum and T. ammi had high iron (> 40 mg/100 g) and tannin/phytate. A. paniculatus, M. sativa, P. longum, S. indicum had low iron (10-15 mg/100 g) with high phytate and tannin. A. racemosus had 38 mg/100 g iron and low phytate and tannin. None of the herbs induced Caco-2 cell ferritin, indicating poor endogenous iron bioavailability. Mineral solutions of, two contrasting herbs (inhibitor content), B. diffusa and A. racemosus induced ferritin with ascorbic acid and not with exogenous iron, suggesting that these are devoid of iron absorption-promoting activity.

Incorporation of such herbs in diets may enhance iron content but not its bioavailability.

Selected edible herbs have been screened for iron bioavailability and its absorption-promoting activity. This has implications in planning evidence-based strategies to correct iron deficiency in general population.

The purpose of this paper is to model the distribution stage of the public distribution system (PDS) and optimize the inventory policy during this stage of the PDS to address some of the inefficiencies present in the system. This study models this supply chain as a multistage supply chain consisting of storage depots, issue centers, fair price shops and card holders.

A two-stage modeling approach is used to model the distribution stage in the PDS. In the first stage, the authors developed a simulation model for periodic review-based stock policy with appropriate assumptions. This helped minimize the total supply chain cost (TSCC). The TSCC consists of three cost elements, namely, ordering cost, holding cost and shortage cost. These three cost elements, in turn, depend on inventory policy parameters, such as review periods and base stock levels, at various echelons. In the second stage, a Genetic Algorithm based optimization approach was used.

A set of optimal policy parameters was identified. It is observed that base stock levels at issue centers are higher as compared to those in the FPS and the TSCC is less in scenario, when backorder cost is equal to the holding cost.

Present study will be useful to policy makers in improving PDS performance. This optimization of inventory policies helps actors in the PDS supply chain to choose appropriate policy parameters in the present inventory policy so as to reduce the overall distribution cost.

Unlike the previous researchers who examined the PDS from the social security perspective and tried to address specific problems to improve functioning of the PDS, this study looked at the problem as a supply chain-related problem and optimized the inventory parameters in one of the subsets of the PDS supply chain.

This study aims to offer a bibliometric and coding analysis of blockchain articles published in the accounting, auditing and accountability fields.

The data were collected using the Scopus database and a bibliometric and qualitative coding analysis with the keywords “blockchain” and “accounting” or “auditing” or “accountability.” Of the 514 initial sources, 93 peer-reviewed papers, book chapters and conference proceedings in the areas of business, management and accounting were finally selected. Nonscientific sources such as nonpeer-reviewed books and white papers were excluded.

This study reveals a promising and multidisciplinary field of research dominated by scholars and less by practitioners. Qualitative research, especially discourse analysis, is the most used method among authors. This study gives some useful insights about blockchain's definition and characteristics, business models, processes involved, connection with other technologies and relationships with accounting theories. Among the most interesting insights, the results confirm that technology as an external force can create an intersection among several research areas: accounting, auditing, accountability, business, management, computer science and engineering fields. Finally, in terms of research themes, although blockchain has a clear effect on auditing accounting, the links with the area of accountability are less clear and validated.

This study highlights the current state of the field, combining methodological approaches and providing valuable future research insights. Additionally, it is also a starting point for professionals to fully understand blockchain's characteristics and potential with a constructive and systemic approach.

India’s rapid industrialisation growth in small and large enterprises has had its impact on the environment; this has now become a major concern to the economy. The government, concerned about economic development and raising the standard of living of its people, has actively supported the development of the small enterprise sector. Due to their labour intensity and importance in generating employment opportunities for the less well‐off members of Indian society, they have been encouraged and given assistance by the Indian government. However, small enterprises tended to be the worst polluters and, as the findings indicated, gave the least attention to environmental issues as part of their operations. Reasons for not installing pollution‐control equipment were related to the fact that such expenditure did not contribute to the bottom line. Although existing environmental legislation is similar to that in industrialised countries, i.e. they all serve the same purpose of protecting the environment, laxity of enforcement and corruption have generally prevented effective regulation of environmental pollution. This paper compares a sample of small and large enterprises in two of the most highly industrialised states in India, to determine whether there were any significant differences in the way they approach environmental issues. Some recommendations are suggested.

Turnaround maintenance (TAM) is a planned stoppage of production for conducting a comprehensive maintenance of equipment or plant with the purpose of improving plant availability and performance. The purpose of this paper is to investigate trends in the operation and management of TAM, as reported in the literature, and identify gaps, in the context of a system approach that views a plant as part of a network of a supply chain.

This literature review is based on over 80 subject-relevant papers and uses content analysis. The literature subjects are classified into several managerial areas that include organization, planning, scope and risk analysis, execution, performance measurement and learning. The gap in the literature is identified in light of the proposed system view for TAM.

The system view of TAM opens new opportunities for new research areas for improving the operation and management of TAM. These areas include optimizing TAM scheduling and developing methods for managing risks along the entire business supply chain. In addition, new approaches for collaboration, sharing knowledge, best practices and expertise within the supply chain become necessary for effective TAM planning and control.

This paper reviews the literature and provides a new classification of TAM. It adopts the system view for TAM that has brought new insights in the operation and management of TAM. New trends for research in the area of TAM are identified.

The aviation industry has started environment friendly and also conventional energy independent alternative energy dependent designs to reduce negative impacts on the nature and to maintain its future activities in a clear, renewable and sustainable way. One possible solution proposed is solar energy. Solar-powered aerial vehicles are seen as key solutions to reduce global warming effects. This study aims to simulate a mathematical model of a solar powered DC motor of an UAV on MATLAB/Simulink environment.

Maximum power point tracking (MPPT) is a critical term in photovoltaic (PV) array systems to provide the maximum power output to the related systems under certain conditions. In this paper, one of the popular MPPT techniques, “Incremental Conductance”, is simulated with solar-powered DC motor for an UAV design on MATLAB/Simulink.

The cascade structure (PV cell, MPPT, buck converter and DC motor models) is simulated and tested under various irradiance values, and results are compared to the DC motor technical data. As a result of that, mathematical model simulation results are overlapped with motor technical reference values in spite of irradiance changes.

It is suggested to be used in real time applications for future developments.

Different from other solar-powered DC motor literature works, a solar-powered DC motor mathematical model of an UAV is designed and simulated on MATLAB/Simulink environment. To adjust the maximum power output at the solar cell, incremental conductance MPPT technique is preferred and a buck converter structure is connected between MPPT and DC motor mathematical model. It is suggested to be used in solar-powered UAV designs for future developments.

The purpose of this paper is to describe the way in which B-to-B relationships are built, based on commitment and trust affecting value co-creation (VcC) and resulting in greater or lesser economic and social satisfaction and the manager’s perception of the delivered value (business customer value) moderating these effects.

Through a means-end approach, a causal model is estimated with PLS using a sample of 268 hotel managers who rate their relationship with their main partner (travel agency or booking center) in Spain.

VcC is a) dynamic because it is episodic, where VcC is a mediator between the trust–commitment relationship and two types of satisfaction (economic and social) and b) synergetic, because when the hotel delivers higher levels of business customer value, the effects in the linkages of VcC–satisfaction(s) are intensified. These effects are not significantly different on economic versus social satisfaction.

The empirical paper collects the perception of a single partner (hotel managers) in a single setting (hotels in Spain). The moderating role of business customer value on the VcC–satisfaction(s) relationship should be further analyzed. The paper contributes to the growing literature on B-to-B VcC by translating empirically the theoretical richness of the VcC concept as being dynamic and synergetic.

This paper adds quantitative evidence to theoretical assumptions on VcC as dynamic and synergetic. The quantitative modelling proves VcC as a true mediator, in a chain of variables in a B-to-B setting.