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Article
Publication date: 8 January 2024

Fatemeh Sajjadian, Mirahmad Amirshahi, Neda Abdolvand, Bahman Hajipour and Shib Sankar Sana

This study aims to endeavor to shed light on the underlying causal mechanisms behind the failure of startups by examining the failure process in such organizations. To achieve…

Abstract

Purpose

This study aims to endeavor to shed light on the underlying causal mechanisms behind the failure of startups by examining the failure process in such organizations. To achieve this goal, the study conducted a comprehensive review of the literature on the definition of failure and its various dimensions, resulting in the compilation of a comprehensive list of causes of startup failure. Subsequently, the failure process was analyzed using a behavioral strategy approach that encompasses rationality, plasticity and shaping, as well as the growth approach of startups based on dialectic, teleology and evolution theories.

Design/methodology/approach

The proposed research methodology was a case study using process tracing, with the sample being a failed platform in the ride-hailing technology sector. The causal mechanism was further explicated through the combined application of the behavioral strategy approach and interpretive structural modeling analysis.

Findings

The findings of the study suggest that the failure of startups is a result of interlinked causes and effects, and growth in these organizations is driven by dialectic, teleology and evolution theories.

Originality/value

The outcomes of the research can assist startups in formulating an effective strategy to deliver the right value proposition to the market, thereby reducing the chances of failure.

Details

Journal of Modelling in Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 21 September 2018

Fatemeh Sajjadian, Reza Sheikh, Mohammad Ehsan Souri and Shib Sankar Sana

Social media has given customers more power over sharing their knowledge, opinions and experiences with each other. Tourists as customers of destinations are also using text ads…

Abstract

Purpose

Social media has given customers more power over sharing their knowledge, opinions and experiences with each other. Tourists as customers of destinations are also using text ads on social media and websites to share their experiences. The purpose of this study is to find out the factors which have affect on the decisions of tourists towards the most popular destinations in Tehran, Isfahan and Shiraz of Iran.

Design/methodology/approach

Netnography methodology has been applied to 2,852 comments showing travelers’ experiences through TripAdvisor.com. As a result, ten major factors have been discovered. According to these factors, a questionnaire has been designed and distributed among 449 tourists. In the second step, the collected data are used by rough set theory to discover the rules of destination recommendation based on the factors discovered before. Finally, eight main rules are determined to further analysis.

Findings

The findings confirm that beauty, cultural attractions, safety, welfare, costs and dealing with passengers are more important than other observed dimensions.

Originality/value

In this study, first the factors affecting consumer behavior in the tourism industry have been investigated. Based on this, the comments of tourists who have traveled to one of the cities Shiraz, Isfahan or Teheran and shared their experiences on TripAdvisor.com are studied. Further, the rules are discovered based on the rough set theory, and owing to the large number of objects (449 customer), the Rosetta software has been used.

Details

Journal of Modelling in Management, vol. 13 no. 4
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 8 June 2023

Fatemeh Ranjbar Noei, Vajihe Atashi and Elaheh Ashouri

High levels of depression and anxiety in the family caregivers of a patient with cancer affect their quality of life. The purpose of this study was to investigate the effects of a…

Abstract

Purpose

High levels of depression and anxiety in the family caregivers of a patient with cancer affect their quality of life. The purpose of this study was to investigate the effects of a mindful self-compassion (MSC) training program on self-compassion in the family caregivers of patients with cancer.

Design/methodology/approach

In 2020, this quasi-experimental study used convenience sampling to select 92 family caregivers of patients with cancer presenting to the oncology ward of Seyed-Al-Shohada Hospital, Isfahan, Iran. The subjects randomly assigned to two groups participated in an online MSC program for 1.5 months. All the participants completed a self-compassion scale (Neff) before, immediately after and one month after the intervention. The data were analyzed using the Mann–Whitney U test, the Chi-squared test, the LSD test, the t-test and repeated measures ANOVA.

Findings

The total mean score of self-compassion, respectively, obtained as 64.64 ± 8.23 and 64.44 ± 4.94 in the experimental and control groups before the intervention significantly increased to 81.15 ± 7.94 and 64.06 ± 5.22 immediately after and 78.94 ± 8.22 and 64.22 ± 4.85 one month after the intervention (P < 0.001).

Practical implications

Given the potential for negative psychological impacts for patients, caregivers and clinicians in cancer care, the online MSC program can be recommended to support and reduce psychological distress in them.

Originality/value

This paper examined the effect of the online MSC program on self-compassion in the family caregivers of patients with cancer and can contribute to our understanding of the value of integrating mental health of caregivers and care of patients with cancer.

Details

The Journal of Mental Health Training, Education and Practice, vol. 18 no. 4
Type: Research Article
ISSN: 1755-6228

Keywords

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