A study on motivation differences among traditional festival visitors based on demographic characteristics,case study: Gol-Ghaltan festival,Iran

Villages and cities have a growing tendency to share their culture and nature with tourists by developing events. This article aims to identify motivational factors influencing visitors' attendance in traditional festivals and then analyzing significant motivation differences among visitors based on their demographic differences. The statistical sample is domestic tourists who visited the 8th Gol-Ghaltan Festival, Iran in 2015. The convenience sampling method has been used and 287 acceptable questionnaires were acquired. Factor analysis has determined six important motivational factors, including “Gol-Ghaltan and Family,” “Cultural Exploration,” “Socialization,” “Supporting Local Community and Heritage,” “Event Novelty,” and “Escape.” Most of these factors are coinciding with previous literature on cultural events except first and fourth factors. Results of T-test and ANOVA show that visitors in various demographic groups have significant differences in the motivational factors. Finally, in accordance with the findings of the research, practical suggestions are presented for managers and marketers of this event.     

Does Web 2.0 utilisation lead to knowledge quality,improvisational creativity,compositional creativity,and innovation in small and medium-sized enterprises? A sense-making perspective

A few attempts were made to investigate how sense making is triggered through Web 2.0 utilisation and how it enables the accomplishment of key organisational outcomes. The objective of this research is to examine the structural relationship between Web 2.0 utilisation, knowledge quality (KQ) aspects, improvisational creativity, compositional creativity, and small and medium-sized enterprises (SMEs) innovativeness in an emerging market – Malaysia. Built upon sense-making theory, this study proposes that sense making is a progression of four formative constructs. Empirical analyses are based on a sample from SMEs’ top management (N?=?358, response rate?=?21%) using partial least squares approach. The findings indicate that Web 2.0 utilisation influences business entities’ sense-making activities in the way they realise the intrinsic value of knowledge and take action to apply the organisational knowledge. These sense-making activities are conducive to improvisational and compositional creativity of SMEs as well. Contributions, managerial implications, and limitations are discussed.     

Creating a Sustainable Supply Chain Network by Adopting Relationship Management Strategies

ABSTRACT

Purpose: This paper develops a conceptual framework to analyze the impact of a supply chain network (SCN) structure on relationship management strategies (RMS) that focal firms apply to manage sustainability issues within the SCN.

Design/methodology/approach: This paper is based on a comprehensive review and analysis of the industrial marketing and purchasing (IMP), sustainable supply chain management (SSCM), and SCN literature.

Findings: The conceptual framework expands the network perspective in the SSCM context by considering the important role of the SCN structure in the firm’s decision-making process. Four factors (dependency, distance, power, and transparency) were found that are useful in conceptualizing the SCN structure. The conceptual framework also categorizes various sustainability practices into four RMS (noncompliance, transactional, dictatorial, and collaborative), which are needed to make an SCN more sustainable. In addition, 16 propositions are developed based on how firms may identify the most effective RMS to implement appropriate sustainability practices through examining their SCN structure.

Research limitations/implications: The conceptual framework, developed as a result of a comprehensive review of the literature, led to the development of 16 propositions, which can assist in furthering a research agenda on RMS to diffuse various sustainability practices within SCN structures.

Originality/value: The relationship between SCN structure and RMS in the sustainability context remains an under-researched but emerging area of interest. This paper leverages existing research to develop a conceptual framework suitable for empirical testing.     

On the residual lifetime of coherent systems with heterogeneous components

The residual lifetime is of significant interest in reliability and survival analysis. In this article, we obtain a mixture representation for the reliability function of the residual lifetime of a coherent system with heterogeneous components in terms of the reliability functions of residual lifetimes of order statistics. Some stochastic comparisons are made on the residual lifetimes of the systems. Some examples are also given to illustrate the main results.     

Right censoring in a discrete life model

Although there are many sophisticated models for estimation of failure rate based on censored data in continuous distributions, not much work has been done in the discrete case. We introduce a discrete model for life lengths and consider its properties. For this model, we derive the corresponding maximum likelihood estimators of the parameters under Type I and Type II right-censoring. Received May 2000     

The Impact of Leadership on Absorptive Capacity: New insights from the UAE

This paper investigates the impact of transformational and transactional leadership on the absorptive capacity of firms within an emerging market setting. Unlike some findings from the Western world, the results indicate that both transformational and transactional leadership styles positively influence the learning processes of absorptive capacity. More specifically, the results indicate that transactional leadership style positively influences the exploratory and transformative learning processes, while the transformational leadership style positively affects the exploitative learning process. Given the unique context under investigation and the fluid institutional arrangements associated with it, the results reflect the need for leadership guidance. Implications for theory and practice are discussed.     

Dragging Market Mavens to Promote Apps Repatronage Intention: The Forgotten Market Segment

While diffusers of market information, their level of involvements and experiences in the marketplace are essential to a market segment, a few empirical research have examined the role of market mavens in promoting Apps retail channel repatronage intention. The purpose of this study is to investigate the structural relationship between flow experience, immersive satisfaction (affective), experiential satisfaction (cognitive), market maven tendency, and Apps repatronage intention (ARI). A total of 407 valid online questionnaires were collected to conduct the statistical analyses using partial least square path modeling approach. The results imply that flow experience, immersive and experiential satisfaction are several determinants of market mavens in promoting Apps retail stores. Practically, the results imply that consumers with a high level of perceived flow experience, immersive and experiential satisfaction exhibit higher tendency of involvement, diffuse more Apps market information and further show a high level of ARI. Theoretically, this study uncovers the experience, satisfaction, market mavenism, and repatronage linkages, and proposes a set of key determinants to explain ARI in an E-retailing environment. The implications and limitations are discussed.     

Air itinerary choice in a low-frequency market: A decision rule approach

This paper focuses on low frequency airline service patronage using the data from a survey conducted at Imam Khomeini International Airport in Tehran, Iran. It uses Dominance-based Rough Set Approach (DRSA) for modeling passengers’ choices. We compare the method with discrete choice models using a prediction potential measure. Unlike discrete choice methods, it can use qualitative and categorized data without having to transform them into dummy variables. It is found that the prediction accuracy of the proposed technique is better than that of the discrete choice model for the case under consideration.     

Comparing hazard models for the growth failure of children in Iran

One of the statistical methods deployed in medical sciences to investigate time to event data is the survival analysis. This study, comparing efficiency of some parametric and semiparametric survival models, aims at investigating the effect of demographic and socio-economic factors on the growth failure of children below 2 years of age in Iran. The survival models including exponential, Weibull, log-logistic and log-normal models were compared to proportional hazards and extended Cox models by Akaike Information Criterion and variability of the estimated parameters. Based on the results, the log-normal model is recommended for analyzing the growth failure data of children in Iran. Furthermore, it is suggested that female children, children born to illiterate mothers and children born in larger households receive more attention in terms of growth failure.     

Determinants of App Stores Continuance Behavior: A PLS Path Modelling Approach

Prior research has mostly examined the satisfaction, intention, and behavior of users toward technology and systems in general, and little research has been dedicated to understanding apps commerce and app stores. Drawing upon the extended model of IT continuance and theory of information overload as a theoretical foundation, the aim of this study is to examine consumer satisfaction, continuous intention, and behavior toward apps shopping. A total of 347 valid questionnaires were collected from experienced consumers with app stores to statistically test the theoretical model using the partial least squares path modelling approach, a structural equation modelling technique. The results show that apps self-efficacy, post-usage usefulness, disconfirmation, facilitating conditions, perceived information overload, apps satisfaction, and apps continuance intention can be used to predict and explain 75.7% of variance in consumer’s continuance behavior in using app stores. The negative and positive causal relationship between constructs, managerial implications, and limitations are discussed.