Marshall–Olkin Extended Gumbel Type‐II Distribution: Properties and Applications

Willayat, Farwa; Saud, Naz; Ijaz, Muhammad; Silvianita, Anita; El-Morshedy, Mahmoud

doi:10.1155/2022/2219570

Cited by 24 publications

(11 citation statements)

References 31 publications

(37 reference statements)

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“…The indirect effect of Customer Satisfaction with the Selling Firm on WOM activities via Loyalty to the Selling Firm turned out to be positive and significant (t = 4.174, p<0.001). Our finding corresponds with previous studies by Willayat et al (2022) and Zaman et al (2022), which also acknowledged the mediating effect of loyalty in strengthening the relationship between customer satisfaction and WOM activities. However, our result contradicts the findings by Ahmad et al (2021).…”

Section: Structural Model Evaluationsupporting

confidence: 92%

The role of loyalty and satisfaction in forming word-of-mouth influence in a B2B environment: EvIdence from the knitting industry of Indonesia

Saragih

Liu

Putri

et al. 2022

JEECAR

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This research aims to find how effective word of mouth in a B2B environment is based on loyalty and customer satisfaction. Word of mouth (WOM) influence among the knitting industry is very important, since it provides sustainability for the business itself. Using PLS (Partial Least Square) modeling, this study provides additional evidence indicating customer satisfaction has both direct and indirect effects on B2B partners’ positive WOM activities. The B2B samples were collected from knitting industries in Indonesia. The research finding indicates that a high level of customer satisfaction directly increases positive WOM activities; the mediation effect of customer loyalty between customer satisfaction and WOM activities also has a significant effect.

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Section: Structural Model Evaluationsupporting

confidence: 92%

The role of loyalty and satisfaction in forming word-of-mouth influence in a B2B environment: EvIdence from the knitting industry of Indonesia

Saragih

Liu

Putri

et al. 2022

JEECAR

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“…Regarding the choice of sample size, different writers have offered various recommendations. Social science investigation needs roughly 15 individuals per predictor for a credible equation [32]. Consequently, choosing 116 Indonesian SMEs as the sample size would be appropriate for this research and satisfy the rule of thumb criterion (Figure 2).…”

Section: Methodsmentioning

confidence: 99%

Knowledge Management as Driver of Women’s Entrepreneurial Innovativeness

Fanaja

Pradana²,

Saputri³

et al. 2023

J. Hum. Earth Future

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The fastest-growing category of entrepreneurs globally is women, who have drawn the attention of many academics, particularly in recent years. The goal of this research is to assess the entrepreneurial traits of women business owners in Bandung, Indonesia, including innovativeness, knowledge management, e-commerce adoption, risk-taking, and technology optimism. A structural equation model was used in this research as a quantitative methodology. By distributing questionnaires to the interviewees (owner-managers of SMEs), a survey was conducted. A convenient sampling method was used to choose 116 individuals. Six hypotheses were tested using a cross-sectional survey methodology. While it has been established that taking risks does not always add to innovativeness, knowledge management and the adoption of e-commerce have both been found to have an impact on it. Risk-taking, however, has an impact on innovation through knowledge management. Innovativeness and e-commerce adoption are positively correlated; knowledge management and e-commerce adoption are positively correlated; and perhaps most significantly, knowledge management and innovativeness are positively correlated. Doi: 10.28991/HEF-2023-04-01-01 Full Text: PDF

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“…The sample size is 1487 Nemesys Net Cafe patrons. A sample of 100 persons calculated using the Slovin method was employed in this investigation 12 . Using a simple random sampling technique, samples were drawn at random from the population, independent of its composition 13 .…”

Section: Literature Reviewmentioning

confidence: 99%

Marketing mix analysis of an Internet service provider in Indonesia

Wardhana

Pradana

Wang

et al. 2023

International Conference on Mathematical and Statistical Physics, Computational Science, Education, and Communication (ICMSCE 2

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The number of brands and products competing in the market is growing in the current modern marketing period, giving consumers more options and alternative goods and services that can suit their needs, as well as the freedom to make their own decisions. Consumer decision-making is influenced by a variety of factors, which makes it particularly difficult to examine consumer purchasing behavior. Individual internal and external influences have an impact on purchasing decisions. Lifestyle, personality, and self-concept, motivation, perception, knowledge, and beliefs are examples of internal influences that affect an individual. Environmental variables and the marketing mix are examples of external influences. With 100 respondents as the research subject, this study used quantitative methodologies with the goal of conducting descriptive and causal research. The Likert scale with research data testing was the scale employed in this investigation. This test for validity and reliability is quantitative in nature. With a total of 100 respondents, sampling was carried out using the probability sampling method and the random sampling type. The method of data analysis performed is straightforward linear regression analysis straightforward linear regression analysis.

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Marshall–Olkin Extended Gumbel Type‐II Distribution: Properties and Applications

Cited by 24 publications

References 31 publications

The role of loyalty and satisfaction in forming word-of-mouth influence in a B2B environment: EvIdence from the knitting industry of Indonesia

The role of loyalty and satisfaction in forming word-of-mouth influence in a B2B environment: EvIdence from the knitting industry of Indonesia

Knowledge Management as Driver of Women’s Entrepreneurial Innovativeness

Marketing mix analysis of an Internet service provider in Indonesia

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