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Zeitschriftenartikel zum Thema „Influence of“

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Autor: Grafiati

Veröffentlicht am 4. Juni 2021

Zuletzt aktualisiert am 25. Februar 2023

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1

Anuja, Dr R., und D. M. Lavanya. „An Empirical View of Influence Marketing from Influencers and Influence Marketers“. International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (30.06.2018): 2577–83. http://dx.doi.org/10.31142/ijtsrd14575.

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2

Fischer, Kerstin, und Jaap Ham. „What influences influence?“ Interaction Studies 22, Nr. 3 (31.12.2021): 291–302. http://dx.doi.org/10.1075/is.00006.int.

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Abstract This special issue addresses how aspects of the communicative situation influence how influential persuasive utterances (or other strategies of influence) are in their contexts of use. Specifically, we study the effects of interactional, speaker-, addressee- and channel-related factors and of the interpersonal relationship between speaker and hearer, as well as the effects of referring to the shared context itself. The papers combined in this special issue provide evidence for the considerable impact of the here and now of the interactional context on the persuasiveness of strategies of influence and contribute to our understanding of mechanisms of persuasion.

3

Barnard, G. A. „What influences influence?“ Journal of Applied Statistics 14, Nr. 2 (Januar 1987): 107–16. http://dx.doi.org/10.1080/02664768700000015.

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4

Kraak, Menno-Jan. „Maps, Influence and Being Influenced“. KN - Journal of Cartography and Geographic Information 56, Nr. 3 (Mai 2006): 127–31. http://dx.doi.org/10.1007/bf03543951.

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5

Ju, Weijia, und Ling Chen. „Influence Maximization in Social Network with Negative Influence“. International Journal of Machine Learning and Computing 9, Nr. 2 (April 2019): 230–35. http://dx.doi.org/10.18178/ijmlc.2019.9.2.791.

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6

Peng, Peng, Christophe Claramunt, Shifen Cheng und Feng Lu. „How Does a Port Build Influence? Diffusion Patterns in Global Oil Transportation“. Sensors 22, Nr. 22 (08.11.2022): 8595. http://dx.doi.org/10.3390/s22228595.

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Ports play a critical role in the global oil trade market, and those with significant influence have an implicit advantage in global oil transportation. In order to offer a thorough understanding of port influences, the research presented in this paper analyzes the evolution of the dominance mechanisms underlying port influence diffusion. Our study introduces a port influence diffusion model to outline global oil transport patterns. It examines the direct and indirect influence of ports using worldwide vessel trajectory data from 2009 to 2016. Port influences are modelled via diffusion patterns and the resulting ports influenced. The results of the case study applied to specific ports show different patterns and influence evolutions. Four main port influence trends are identified. The first one is that ports that have a strong direct influence over their neighboring ports materialize a directly influenced area. Second, geographical distance still plays an important role in the whole port influence patterns. Third, it clearly appears that, the higher the number of directly influenced ports, the higher the probability of having an influence pattern, as revealed by the diffusion process. The peculiarity of this approach is that, in contrast to previous studies, global maritime trade is analyzed in terms of direct and indirect influences and according to oil trade flows.

7

Liddy, Richard M. „Newman, His Influences, and His Influence“. Lonergan Review 11 (2020): 76–93. http://dx.doi.org/10.5840/lonerganreview2020115.

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8

Yu, Karen. „Can Semantic Knowledge Influence Motion Correspondence?“ Perception 29, Nr. 6 (Juni 2000): 693–707. http://dx.doi.org/10.1068/p3063.

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Semantic factors are presumed to have little influence on motion perception. Two experiments examined the effects of an object's semantic identity on motion correspondence using the Ternus paradigm. Motion correspondence was not influenced by whether the object depicted is typically moving or stationary, but it was influenced by the way(s) in which an object's components typically move relative to one another: perceived correspondence differed depending on whether the motion tokens constituted the feet of a person walking or the wheels of a car. Apparently, semantic knowledge can influence motion correspondence, although such influence is weak and may be restricted to certain types of semantic information. The adaptive significance of such restricted influences is considered.

9

Fry, Karin. „Hannah Arendt and Philosophical Influence“. Research in Phenomenology 50, Nr. 2 (22.07.2020): 161–76. http://dx.doi.org/10.1163/15691640-12341445.

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Abstract Over the years, many scholars have focused on the hierarchical and overpowering influence of Martin Heidegger upon Hannah Arendt’s thought. This view follows the stereotype concerning philosophical influence in which an all-knowing teacher affects the thought of the student, particularly if the student is a woman. In this paper, I argue that the story of philosophical influence is more complicated. In this case, the biographical archive establishes how Karl Jaspers, Martin Heidegger, and Hannah Arendt mutually influenced one another throughout their lives and careers. This evidence contests the typical view of philosophical influence which is hierarchical and often gendered and suggests a new model for understanding philosophical influences as dynamic and reciprocal.

10

Mahmood, Asma, und Mujahid Abbas. „Influence model and doubly extended TOPSIS with TOPSIS based matrix of interpersonal influences“. Journal of Intelligent & Fuzzy Systems 39, Nr. 5 (19.11.2020): 7537–46. http://dx.doi.org/10.3233/jifs-200833.

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The aim of this paper is to construct a matrix of interpersonal influences employing TOPSIS and then to apply the matrix in influence model and doubly extended TOPSIS. Entries of that matrix are obtained from coefficients of relative closeness. Such a systematically constructed matrix performs better than the direct influence matrix because of the consideration of alternatives under certain criteria/attributes. Implementation of such influence matrix improves an influence model and group decision process. In this paper, TOPSIS is used for individual as well as group decisions. Once the decisions are reached by individuals with the help of TOPSIS, then coefficients of relative closeness are obtained and matrix of interpersonal influences is constructed. This matrix is used in influence model and to construct the influenced decision matrices. These influenced decision matrices are aggregated to get the collective decision. This strategy is based on the fact that the decisions taken by individuals affect their collective decision in future.

11

Maurer, Marcus. „Nonverbal Influence During Televised Debates“. American Behavioral Scientist 60, Nr. 14 (Dezember 2016): 1799–815. http://dx.doi.org/10.1177/0002764216676250.

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Experimental studies find a strong influence of nonverbal signals on the evaluation of political candidates when raters are asked to judge unknown candidates from short-duration exposures. Yet when viewers are exposed to candidates’ verbal and nonverbal communication in a more naturally occurring context, the presence of verbal communication can make the influence of nonverbal communication seem attenuated. To link these findings, the present study uses continuous response measurement to uncover the relative influence of verbal and nonverbal communication on political opinion formation during a debate clip lasting about 9 minutes. The analysis suggests that nonverbal communication influences candidate evaluations especially during the beginning of the presentation. Verbal communication seems influential for the remaining time. Consistent with this trend, study participants’ post-exposure opinions were influenced by both verbal and nonverbal communication.

12

Murard, Lion. „Influence subie, influence exercée“. Revue d’études comparatives Est-Ouest N° 1, Nr. 1 (2018): 209. http://dx.doi.org/10.3917/receo1.491.0209.

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13

Mehl, Hillary L., und Peter J. Cotty. „Nutrient Environments Influence Competition among Aspergillus flavus Genotypes“. Applied and Environmental Microbiology 79, Nr. 5 (21.12.2012): 1473–80. http://dx.doi.org/10.1128/aem.02970-12.

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ABSTRACTThe population dynamics ofAspergillus flavus, shaped in part by intraspecific competition, influence the likelihood and severity of crop aflatoxin contamination. Competition for nutrients may be one factor modulating intraspecific interactions, but the influences of specific types and concentrations of nutrients on competition between genotypes ofA. flavushave not been investigated. Competition between pairedA. flavusisolates on agar media was affected by varying concentrations of carbon (sucrose or asparagine) and nitrogen (nitrate or asparagine). Cocultivated isolate percentages from conidia and agar-embedded mycelia were quantified by measurements of isolate-specific single-nucleotide polymorphisms with quantitative pyrosequencing. Compositions and concentrations of nutrients influenced conidiation resulting from cocultivation, but the percentages of total conidia from each competing isolate were not predicted by sporulation of isolates grown individually. Success during sporulation did not reflect the outcomes of competition during mycelial growth, and the extents to which isolate percentages from conidia and mycelia differed varied among both isolate pairs and media. Whether varying concentrations of sucrose, nitrate, or asparagine increased, decreased, or had no influence on competitive ability was isolate dependent. Different responses ofA. flavusisolates to nutrient variability suggest genotypes are adapted to different nutrient environments that have the potential to influenceA. flavuspopulation structure and the epidemiology of aflatoxin contamination.

14

Chuang, Chun-Ling, Hong-Lin Tian und Rong-Ho Lin. „Integrating Certainty Effect and Noninteractive Social Influence Into Impulse Buying“. Social Behavior and Personality: an international journal 43, Nr. 5 (13.06.2015): 777–93. http://dx.doi.org/10.2224/sbp.2015.43.5.777.

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We integrated certainty effect and noninteractive social influence into impulse buying, and explored the relationships between impulse buying tendency and intention in regard to the impacts of certainty effect and social influence. We selected 2 certainty effects (1-phase and 2-phase discounts) and 3 social influences (number, proximity, and strength) that stimulate consumers' impulse buying intention for a unique product. The participants were 416 students at 5 universities in northern Taiwan. Results of structural equation modeling indicated that impulse buying tendency positively influenced impulse buying intention in terms of certainty effects and social influences; there was a positive relationship between certainty effects and social influences in impulse buying intention; the students preferred 2-phase to 1-phase discounts; and, in descending order, the social influences of strength, number, and proximity impacted impulse buying intention. We concluded that marketers can use certainty effects and noninteractive social influences to stimulate consumers' buying intention.

15

Burnaz, Sebnem, und Fulya Acikgoz. „The influence of 'influencer marketing' on YouTube influencers“. International Journal of Internet Marketing and Advertising 15, Nr. 2 (2021): 201. http://dx.doi.org/10.1504/ijima.2021.10036966.

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16

Acikgoz, Fulya, und Sebnem Burnaz. „The influence of 'influencer marketing' on YouTube influencers“. International Journal of Internet Marketing and Advertising 15, Nr. 2 (2021): 201. http://dx.doi.org/10.1504/ijima.2021.114331.

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17

Morrison, David E. „The Influences Influencing Personal Influence: Scholarship and Entrepreneurship“. ANNALS of the American Academy of Political and Social Science 608, Nr. 1 (November 2006): 51–75. http://dx.doi.org/10.1177/0002716206292864.

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18

Flew, Terry. „Changing influences on the concept of ‘media influence’“. International Journal of Digital Television 5, Nr. 1 (01.03.2014): 7–18. http://dx.doi.org/10.1386/jdtv.5.1.7_1.

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19

Kunin, Marina, Erin Turbitt, Sarah A. Gafforini, Lena A. Sanci, Neil A. Spike und Gary L. Freed. „General practitioner referrals to paediatric specialist outpatient clinics: referral goals and parental influence“. Journal of Primary Health Care 10, Nr. 1 (2018): 76. http://dx.doi.org/10.1071/hc17030.

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ABSTRACT INTRODUCTION Previous research on general practitioner (GP) referrals in adult populations demonstrated that patient pressure influenced referral practice. No research has been conducted to investigate how involvement of a parent influences paediatric referrals. AIM To investigate whether GPs who report parental influence on their decision to refer paediatric patients differ in their referral patterns from GPs who do not report parental influence. METHOD A mail survey of 400 GPs who had referred at least two children to paediatric specialist outpatient clinics during 2014 was distributed. RESULTS The response rate was 67% (n = 254). For initial referrals, 27% of GPs stated that parental request frequently or almost always influenced their referral decision. For returning referrals, 63% of GPs experienced parental influence to renew a referral because a paediatrician wanted a child to return; 49% of GPs experienced influence to renew a referral because a parent wanted to continue care with a paediatrician. Experiencing parental influence was associated with increased likelihood for frequent referrals in order for a paediatrician to take over management of a child’s condition. DISCUSSION GPs who frequently refer with a goal for a paediatrician to take over management of a child’s condition also report that parental request almost always influences their decision to refer.

20

Levinthal, David J., und Peter L. Strick. „Multiple areas of the cerebral cortex influence the stomach“. Proceedings of the National Academy of Sciences 117, Nr. 23 (20.05.2020): 13078–83. http://dx.doi.org/10.1073/pnas.2002737117.

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The central nervous system both influences and is influenced by the gastrointestinal system. Most research on this gut–brain connection has focused on how ascending signals from the gut and its microbiome alter brain function. Less attention has focused on how descending signals from the central nervous system alter gut function. Here, we used retrograde transneuronal transport of rabies virus to identify the cortical areas that most directly influence parasympathetic and sympathetic control of the rat stomach. Cortical neurons that influence parasympathetic output to the stomach originated from the rostral insula and portions of medial prefrontal cortex, regions that are associated with interoception and emotional control. In contrast, cortical neurons that influence sympathetic output to the stomach originated overwhelmingly from the primary motor cortex, primary somatosensory cortex, and secondary motor cortex, regions that are linked to skeletomotor control and action. Clearly, the two limbs of autonomic control over the stomach are influenced by distinct cortical networks.

21

Gunther, Albert C., und J. Douglas Storey. „The Influence of Presumed Influence“. Journal of Communication 53, Nr. 2 (01.06.2003): 199–215. http://dx.doi.org/10.1111/j.1460-2466.2003.tb02586.x.

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22

Andreani, Fransisca, Leonardo Gunawan und Selden Haryono. „SOCIAL MEDIA INFLUENCER, BRAND AWARENESS, AND PURCHASE DECISION AMONG GENERATION Z IN SURABAYA“. Jurnal Manajemen dan Kewirausahaan 23, Nr. 1 (03.03.2021): 18–26. http://dx.doi.org/10.9744/jmk.23.1.18-26.

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Many restaurants and cafes use Social Media Influencer (SMI) services to promote their products/ services. The three dimensions of SMI include reach, relevance, and resonance; and these can influence brand awareness and purchase decision of generation Z consumers. This study involved 108 respondents and used SPSS and Partial Least Square (PLS) as data analysis techniques. The results of this study indicate that reach, relevance and resonance of SMI have positive and significant influences on brand awareness. Reach has positive but insignificant influence on purchase decisions; whereas, relevance and resonance have positive and significant influences on purchase decision. Finally, brand awareness has positive but insignificant influence on purchase decision of Generation Z to restaurants and cafes in Surabaya.

23

Allar, Neal A. „Rhizomatic Influence: The Antigenealogy of Glissant and Deleuze“. Cambridge Journal of Postcolonial Literary Inquiry 6, Nr. 1 (Januar 2019): 1–13. http://dx.doi.org/10.1017/pli.2018.25.

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To identify literary influences is, conventionally, to build a genealogy—to, in Salman Rushdie’s words, “name one’s parents.” But can this family-tree view of literary influence hold up in postcolonial literature—a body of work that has so thoroughly deconstructed concepts of genealogy? This article turns to a pivotal case of “influence” in postcolonial Francophone literature and philosophy: among Édouard Glissant and Gilles Deleuze and Félix Guattari. The latter two writers are thought to have influenced Glissant’s thinking with their concept of the “rhizome,” but the rhizome directly counters such genealogizing as this “influence” would imply. In fact, this article shows, Glissant develops his own version of the rhizome from his very earliest writings, particularly his first poems. An analysis of them alongside Glissant’s subsequent essays and Deleuze and Guattari’s own writing, allows for a more complicated, multidirectional—that is, rhizomatic—theory of postcolonial influence.

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PANAIT, Cristian, und Vasile BUCINSCHI. „EMOTIONAL INTELLIGENCE INFLUENCE IN LEADERSHIP“. SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 20 (18.06.2018): 493–98. http://dx.doi.org/10.19062/2247-3173.2018.20.67.

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25

Dr. K. Mangayarkarasi, Dr K. Mangayarkarasi. „Factors Influence on Media Violence“. International Journal of Scientific Research 2, Nr. 8 (01.06.2012): 489–92. http://dx.doi.org/10.15373/22778179/aug2013/160.

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26

Couto, M. C. M., S. Quinelato, C. N. Santos, L. S. Souza, I. B. M. Saio und M. L. A. Rodrigues. „Environmental influence in cyathostominae ecology“. Veterinární Medicína 53, No. 5 (13.06.2008): 243–49. http://dx.doi.org/10.17221/1950-vetmed.

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Studies of the survival, recovery and migration of cyathostomin infective larvae in a Bermuda grass (<I>Cynodon dactylon</I>) pasture were carried out in the Baixada Fluminense county, Rio de Janeiro state. Fresh feces (± 1 kg) from naturally infected horses were deposited monthly on Bermuda grass. Samples of feces and surrounding grass were collected every seven days, from March 2005 to March 2007, and larva were counted. In the feces, cyathostomin L<sub>3</sub> survived for up to 15 weeks, with higher recovery rates during the rainy period (46 228/kg dried herbage – dh), and on the grass for up to 12 weeks. The recovery of L<sub>3</sub> was greater during the dry period in the grass base (1 868/kg dh) compared to the apex (809/kg dh). The migration of L<sub>3</sub>from feces to grass varied during the period. Climatic factors, such as temperature and rain, influenced the development and migratory behavior of cyathostomin L<sub>3</sub>. With regard to the grass base, significant differences were observed at the different collection times. The results demonstrate that under local conditions animals are at permanent risk since the infective larvae are always present on pasture.

27

Smith, Brian G., Megan C. Kendall, Devin Knighton und Temi Wright. „Rise of the Brand Ambassador: Social Stake, Corporate Social Responsibility and Influence among the Social Media Influencers“. Communication Management Review 03, Nr. 01 (30.07.2018): 6–29. http://dx.doi.org/10.22522/cmr20180127.

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28

Abd Majid, Latifah, Mohd Nasir Abdul Majid, Zuliza Mohd Kusrin und Wan Siti Norjannah W Sulong. „Implication of International Scholars’ Influence on the Direction of Abdul Hadi’s Political Thought“. Islamiyyat 43, Nr. 1 (01.06.2020): 51–59. http://dx.doi.org/10.17576/islamiyyat-2021-4301-05.

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Influence involves a state of two-way direction or relationship between what or who is influenced and the influencer. The influencer has the capacity to cause an effect on the character, behaviour or development of someone or something. The effect or influence in this research is not limited to only the political but extends to tarbiyah, social, economic, jihad, dakwah, knowledge and thought aspects. Abdul Hadi is a recognised figure of political movement and dakwah in Malaysia and internationally. His leadership and personality in dakwah and politics is believed to have been influenced by some factors, among them, his direct and indirect interaction with international leaders and scholars. This article discusses the network and implication of the influence of international Islamic movement leaders and scholars which positively impacted Abdul Hadi’s socio-politics. This research was qualitatively designed using document analysis approach. Under protocol, in-depth and structured interview method was used and data descriptively analysed. Research findings show a positive impact by scholars and leaders of international movements on Abdul Hadi’s thought in devising and drawing up dakwah and political strategies at national and international levels.

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Satpathy, Abhilash, Ansuman Samal, Kilaru Madhavi und Raju Agrawal. „The Role of Influencer Marketing on Consumer Buying Decision“. ECS Transactions 107, Nr. 1 (24.04.2022): 12373–80. http://dx.doi.org/10.1149/10701.12373ecst.

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The purpose of this research is to identify how influencer marketing can influence buying behavior of the consumers. To find out the same, primary data collection method was followed in this research work. Sample size was 66 however, 50 complete responses were received. From the responses it was found that most some participants directly buy products recommended by influencers while most of them check reviews about that product before buying it. Some consumers compare recommended products with other products before buying and some consumers check the price before buying. Therefore, from this information it can be concluded that influencers can positively influence buying behavior of the consumers. However, several factors affect this. For example, higher number of followers ensures that an influencer influences consumer. However, if influencers are paid for product promotion, then it cannot influence consumer buying behavior. On the other hand, area of expertise of the influencers also plays a major role in influencing buying behavior of the consumers. Besides, if an influencer is from a same country with the followers, then the influencers can easily influence their buying behavior.Keywords: Influencer marketing, consumer buying behavior, consumer-buying process, buying behavior of followers

30

Huyghe, François-Bernard. „Influence“. Médium 18, Nr. 1 (2009): 138. http://dx.doi.org/10.3917/mediu.018.0138.

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31

Ulrich, Beth. „Influence“. Journal for Nurses in Professional Development 38, Nr. 3 (Mai 2022): 157–58. http://dx.doi.org/10.1097/nnd.0000000000000886.

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32

Meier, Kenneth J., und Laurence J. O’Toole. „Influence“. Administration & Society 44, Nr. 7 (Oktober 2012): 888–93. http://dx.doi.org/10.1177/0095399712466801.

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33

Mattocks, Sarah. „Influence“. Journal of Trauma Nursing 26, Nr. 6 (2019): 271. http://dx.doi.org/10.1097/jtn.0000000000000472.

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34

Frija, Rachael. „Influence“. Journal for Nurses in Professional Development 39, Nr. 1 (Januar 2023): 42–43. http://dx.doi.org/10.1097/nnd.0000000000000936.

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35

GÜNGÖR, Özcan. „Religious Socialization Sources of Influence and Influences of Agency“. Journal of Turkish Studies Volume 8 Issue 3, Nr. 8 (2013): 279–97. http://dx.doi.org/10.7827/turkishstudies.3956.

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36

Thapa, Dibesh, Brentton Barrett, Fulye Argunhan und Susan D. Brain. „Influence of Cold-TRP Receptors on Cold-Influenced Behaviour“. Pharmaceuticals 15, Nr. 1 (28.12.2021): 42. http://dx.doi.org/10.3390/ph15010042.

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The transient receptor potential (TRP) channels, TRPA1 and TRPM8, are thermo-receptors that detect cold and cool temperatures and play pivotal roles in mediating the cold-induced vascular response. In this study, we investigated the role of TRPA1 and TRPM8 in the thermoregulatory behavioural responses to environmental cold exposure by measuring core body temperature and locomotor activity using a telemetry device that was surgically implanted in mice. The core body temperature of mice that were cooled at 4 °C over 3 h was increased and this was accompanied by an increase in UCP-1 and TRPM8 level as detected by Western blot. We then established an effective route, by which the TRP antagonists could be administered orally with palatable food. This avoids the physical restraint of mice, which is crucial as that could influence the behavioural results. Using selective pharmacological antagonists A967079 and AMTB for TRPA1 and TRPM8 receptors, respectively, we show that TRPM8, but not TRPA1, plays a direct role in thermoregulation response to whole body cold exposure in the mouse. Additionally, we provide evidence of increased TRPM8 levels after cold exposure which could be a protective response to increase core body temperature to counter cold.

37

Andrada, Alexandre F. S. „Understanding Robert Lucas (1967-1981): his influence and influences“. EconomiA 18, Nr. 2 (Mai 2017): 212–28. http://dx.doi.org/10.1016/j.econ.2016.09.001.

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38

Zhang, Jing, Jie Tang, Juanzi Li, Yang Liu und Chunxiao Xing. „Who Influenced You? Predicting Retweet via Social Influence Locality“. ACM Transactions on Knowledge Discovery from Data 9, Nr. 3 (13.04.2015): 1–26. http://dx.doi.org/10.1145/2700398.

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39

Roy, Indrani, und Renata Tedeschi. „Influence of ENSO on Regional Indian Summer Monsoon Precipitation—Local Atmospheric Influences or Remote Influence from Pacific“. Atmosphere 7, Nr. 2 (06.02.2016): 25. http://dx.doi.org/10.3390/atmos7020025.

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40

Noguti, Valeria, und Cristel Antonia Russell. „Normative Influences on Product Placement Effects: Alcohol Brands in Television Series and the Influence of Presumed Influence“. Journal of Advertising 43, Nr. 1 (Januar 2014): 46–62. http://dx.doi.org/10.1080/00913367.2013.810557.

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41

Phillips, Patricia C. „Questions of Influence: Influence of Questions“. Art Journal 63, Nr. 2 (2004): 3. http://dx.doi.org/10.2307/4134515.

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42

Chen-Wishart, M. „Undue Influence: Vindicating Relationships of Influence“. Current Legal Problems 59, Nr. 1 (01.01.2006): 231–66. http://dx.doi.org/10.1093/clp/59.1.231.

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Phillips, Patricia C. „Questions of Influence: Influence of Questions“. Art Journal 63, Nr. 2 (Juni 2004): 3. http://dx.doi.org/10.1080/00043249.2004.10791120.

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Virgana. „The Increasing Performance of School Principal Through Remuneration, Personality, and Job Satisfaction“. IJHCM (International Journal of Human Capital Management) 2, Nr. 2 (17.07.2019): 45–59. http://dx.doi.org/10.21009/ijhcm.02.02.05.

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This research aims to know the influence of remuneration, personality, and job satisfaction on performance school principal, both directly and indirectly. Research using path analysis, a sample of randomly selected as many as 65 principal of elementary schools are civil servants in South Jakarta. The path analysis was done with some tests namely: Test of Normality of Error; Homogeneity Test; and significance and linearity test of regression coefficient. The results of the analysis found that there are: 1) direct influence of remuneration towards job satisfaction; 2) direct influence personality towards job satisfaction; 3) direct influence of regional allowances toward performance of principal; 4) direct influence of personality toward performance of principal; 5) direct influence job satisfaction toward performance of principal; 6) indirect influences of remuneration toward performance through job satisfaction; and 7) the indirect influence of personality toward performance of principal through job satisfaction. Therefore the variation improvements of principal performance are influenced by variation of the variable remuneration, personality, and job satisfaction

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Hauswald, Hannes, und Andreas Hack. „Impact of Family Control/Influence on Stakeholders’ Perceptions of Benevolence“. Family Business Review 26, Nr. 4 (25.02.2013): 356–73. http://dx.doi.org/10.1177/0894486513477453.

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This article proposes a model explaining how family control/influence in an organization affects individual stakeholders’ perceptions of benevolence. The model suggests two effects. First, based on socioemotional wealth research, we propose that family control/influence positively affects stakeholders’ perceptions of benevolence through the benevolent behavior that the organization shows toward its stakeholders. However, this effect can be negatively influenced if the family’s socioemotional wealth goals in terms of “Family control and influence” and/or “Renewal of family bonds to the firm through dynastic succession” are at risk. Second, we argue that family control/influence, to the extent that it is perceivable to the stakeholder, influences stakeholders’ perceptions of benevolence through categorization processes. However, the impact of perceivable family control/influence on stakeholders’ perceptions of benevolence is not straightforward but instead hinges on a set of individual-level contingency factors of the stakeholder, such as stakeholders’ family business in-group membership, stakeholders’ secondhand category information, and stakeholders’ firsthand category information.

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Permatasari, Asti Ayu Wulan, Purnomologi Ursila Nilamsari und Rayini Dahesihsari. „JENIS PENGARUH KELOMPOK REFERENSI DALAM PEMBELIAN PRODUK FASHION BERMEREK TIRUAN PADA INDIVIDU DEWASA AWAL“. Jurnal Perkotaan 12, Nr. 1 (19.02.2021): 53–66. http://dx.doi.org/10.25170/perkotaan.v12i1.2238.

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The research aims to describe the references group influences on the consumption of counterfeit branded fashion products on early adulthood individuals. Reference groups refers to individuals or group that become references for individual to forming her/his values and attitudes. Since 2014, the most counterfeit product consumption is fashion, which results on economic loss up to 41 billion rupiahs. Previous study showed that the consumption of counterfeit products was not only influenced by the high price of the original products, but also by psychological aspects, such as motivation to be seen positively and accepted by the social groups. The research applies quantitative approach, using 30 items of references group influences questionnaire. The questionnaire measures three types of references group influences, including informational influence, utilitarian influence, and value expressive influence on early adult individuals who experiences to buy counterfeit branded fashion product. 155 respondents involved. Convenience sampling technique applied, with central tendency, friedman test and mann-whitney test being used for data analysis. The findings show that references group influences for buying counterfeit branded fashion product was in moderate level, with the most influences was informational influences compared to utilitarian and value expressive influences.

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Ham, Jaap. „Influencing robot influence“. Interaction Studies 22, Nr. 3 (31.12.2021): 464–87. http://dx.doi.org/10.1075/is.00012.ham.

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Abstract In the near future, robots will function in social roles and attempt to influence the user’s behavior and / or thinking. The current contribution analyses how to influence robot influence: Persuasive robots can be personalized to make them more effective. We present an overview of (1) the user characteristics to which persuasive robots can be personalized, (2) considering the specific current situation of a user; and (3) the robot characteristics that can be personalized. Thereby, we give an overview of how the persuasive robot’s physical appearance, behavior, (perceived) cognition and affect can be influenced to characteristics of the user (personalized) in order to make the robot more persuasive and thereby to understand better how the persuasive power of an embodied artificial social entity can be influenced.

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Ni, Yongmei, Rui Yan und Diana Pounder. „Collective Leadership: Principals’ Decision Influence and the Supportive or Inhibiting Decision Influence of Other Stakeholders“. Educational Administration Quarterly 54, Nr. 2 (30.07.2017): 216–48. http://dx.doi.org/10.1177/0013161x17723427.

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Purpose: Using the collective leadership framework, this study examines (a) how principals perceive their own influence and that of other key stakeholders in various school decisions and (b) how principals’ perceived influences of other stakeholders are associated with their own influence. Research Method/Approach: This study uses the nationally representative database of public school principals from the 2007 to 2008 School and Staffing Survey. A series of ordinary least squares regression models were estimated to examine how principals’ perceptions of decision influence were associated with principal characteristics, school contextual factors, and influences of other stakeholders. Findings: Among all the stakeholders, principals perceived themselves to have the greatest influence in school decisions in almost all key decision areas, while other stakeholders also exerted significant influences to different extents. Depending on the decision area, principals viewed other stakeholders’ influence as either supporting or inhibiting their own influence. For example, principals perceived influences from teachers and school districts as high and supportive. On the other hand, the influence of state agencies were perceived as generally inhibiting. In addition, collective leadership was more prevalent in some decision areas (e.g., setting standards and establishing curriculum) than others (e.g., hiring and evaluating teachers). Conclusions and Implications: School leadership does not have to be a zero-sum game. Principals’ decision influence does not necessarily diminish when other stakeholders gain more influence. Improving collective leadership and maintaining the right balance of decision influence among stakeholders and across decision zones have the potential to create a harmonious and high-functioning school environment.

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Alexandrovskiy, Sergey, Elena Zinchak, Darya Kozyreva und Ekaterina Sofonova. „Сonsumers Attitude toward Video Advertising with Memes“. Moscow University Economics Bulletin 2020, Nr. 4 (31.08.2020): 181–95. http://dx.doi.org/10.38050/01300105202049.

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Companies use humor and memes in advertising to speak the same language with consumers and improve communication. The meme is like a good joke: everyone understands it. Drawing on the study of 448 Russian consumers, the authors reveal the degrees of influence of such factors as entertainment, informativeness and irritation on the value of video advertising with memes. All the three factors influence the advertising value, with informativeness of advertising being of highest influence. The set of factors and degrees of influence depend on consumer’s readiness to accept innovations. The innovators are influenced by two factors out of three - informativeness and entertainment, where the latter influences the innovators most. Irritation has no influence on advertising value altogether. Advertising designers and companies can use the findings to predict the changes in advertising value based on the changes in the factors of advertising perception.

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Syafe’i, Darman. „Pengaruh Pelatihan Dan Disiplin Kerja Terhadap Kinerja Relawan Kantor Badan Penanggulangan Bencana Daerah Kabupaten Ogan Komering Ulu“. FORBISWIRA (FORUM BISNIS DAN KEWIRAUSAHAAN) - SINTA 4 10, Nr. 2 (16.03.2021): 76–88. http://dx.doi.org/10.35957/forbiswira.v10i2.799.

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This study was to determine the influence of training and work discipline on the performance of volunteers at Regional Disaster Management Agency Office of Ogan Komering Ulu District. The analytical tool used is multiple regression. The results of this study are that simultaneously there is a significant influence between training and work discipline on the performance of volunteers at Regional Disaster Management Agency Office of Ogan Komering Ulu District. Partially the training variable (X1) influences the performance and work discipline (X2) influences the performance. The percentage of the influence of training and work discipline on the performance of volunteers in the Regional Disaster Management Agency Office of Ogan Komering Ulu District was 72.3% while the remaining 27.7% was influenced or explained by other variables which are not included in this research model such as work motivation, work environment and leadership (Kasmir, 2016: 189)