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... Trust is vital for cultivating positive relationships between individuals and organizations, providing the basis for cooperation and the sharing of information (Oleszkiewicz et al., 2024). Online environments, which are closely related to the metaverse concept, have long been recognized as requiring a high degree of trust for successful adoption and usage. ...
This study aims to understand the factors influencing consumers' intention to adopt the meta-verse as a marketplace for physical products and the role of trust specifically focusing on the generation aged 18-28. It also explores the moderating role of trust towards the company Meta in these relationships. An exploratory sequential mixed-method research design was employed to develop an encompassing conceptual model, enhance hypothesis formulation, and validate findings through triangulation. In the first phase of the study, in-depth interviews were conducted with professionals and students (n = 11), and in the second phase, Likert-type questionnaire was administered (n = 386) to university students. The data collected in the second phase was analyzed using Covariance-Based Structural Equation Modeling (CB-SEM) to validate the conceptual model. This included Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) for reliability and validity, followed by the assessment of path coefficients. Double-mean centering was applied to test moderating effects, with all analyses conducted using the R software's lavaan package. The results confirmed the positive effects of novelty, relative advantage, realism, and compatibility on consumers' intention to adopt the metaverse as a marketplace for physical products, while complexity and financial costs were identified as barriers. Trust towards Meta did not have a moderating effect. The findings provide insights for managers to develop the metaverse in a customer-centric manner and promote its unique features while addressing complexity and financial concerns. The study extends the literature on the metaverse in the consumer goods sector and contributes to Innovation Adoption Theory. KEY WORDS metaverse, innovation adoption, metaverse retailing, diffusion of innovations JEL CODES M31, M37
... Second, compared to a decade ago, we have more evidence concerning information-gathering approaches; however, there is little evidence about different types of information-gathering approaches (e.g., cognitive interviews) or how rapport-versus trust-based approaches may influence confessions (see Oleszkiewicz et al., 2024). ...
Background
False confessions are often the product of an interrogation process, and the method by which an interrogation is conducted likely affects both the rate of truthful confessions and false confessions. An optimal interrogation method will maximize the former and minimize the latter.
Objectives
The current study was a partial update and extension of Meissner and colleagues' (2012) prior Campbell systematic review titled Interview and Interrogation Methods and their Effects on True and False Confessions. Our objective was to assess the effects of interrogation approach on the rates of true and false confessions for criminal (mock) suspects.
Search Methods
PsycINFO, Criminal Justice Abstracts, and 15 other databases were searched starting October 20, 2022, with the final search conducted on May 23, 2023; together with reference checking, citation searching, and contact with authors to identify additional studies.
Selection Criteria
All eligible studies experimentally manipulated interrogation approach (i.e., accusatorial, information‐gathering, or direct questioning) were conducted with mock suspects accused of wrongdoing where ground truth was known, and included information about confession rates.
Data Collection and Analysis
We used standard methodological procedures expected by The Campbell Collaboration for our selection of studies and data collection. However, we developed our own risk of bias items and analyzed our data using network meta‐analysis methods. Data were synthesized via random‐effects network meta‐analysis based on the logged odds ratio.
Main Results
Across the 27 research articles that provided statistical information sufficient to calculate an effect size, 29 individual studies provided a total of 81 effect sizes. Most studies were conducted with college students in the United States. Overall, our risk of bias assessment indicated that authors generally adhered to double‐blind procedures and avoided selective reporting of outcomes. Of note, however, it was often unclear how violations of the randomization process were dealt with.
For true confessions, there were 12 studies estimating the effect between accusatorial and direct questioning, five estimating the effect between information‐gathering and direct questioning, and another five estimating the effect between accusatorial and information‐gathering. Compared to information‐gathering, on average, the accusatorial conditions observed fewer true confessions, although not statistically significant (combined OR = 0.55, 95% CI 0.29, 1.05). The largest effects were between information‐gathering and direct questioning, with the former producing significantly more true confessions on average (combined OR = 2.43, 95% CI 1.29, 4.59). This model showed good consistency between the direct and indirect effects.
For false confessions, there were 20 studies estimating the effect between accusatorial and direct questioning, 4 studies estimating the effect between information‐gathering and direct questioning, and 7 estimating the effect between accusatorial and information‐gathering. On average, accusatorial conditions yielded more false confessions than direct questioning (combined OR = 3.03, 95% CI 1.83, 5.02) or information‐gathering (combined OR = 4.41, 95% CI 1.77, 10.97), both of which are statistically significant. In contrast, direct questioning and information‐gathering had roughly similar rates of false confessions with nonsignificant and small effects that slightly favored information‐gathering (combined OR = 0.69, 95% CI 0.27, 1.78). This model showed good consistency between the direct and indirect effects.
For true confessions under a six‐node model, most of the direct, indirect, and combined network estimated mean odds ratios were not statistically significant. The only significant effects were for (1) information‐gathering versus direct questioning, with the former resulting in more true confessions (combined OR = 2.57, 95% CI 1.38, 4.78); and (2) accusatorial‐evidence ploy versus information‐gathering with the former resulting in fewer true confessions (combined OR = 0.37, 95% CI 0.16, 0.84).
For false confessions under a six‐node model, we found significant effects for (1) accusatorial‐evidence ploys versus direct questioning, with the former resulting in more false confessions (combined OR = 2.98, 95% CI 1.59, 5.59); (2) accusatorial‐evidence ploys versus information‐gathering, with the former resulting in more false confessions (combined OR = 4.47, 95% CI 1.46, 13.68); (3) accusatorial‐other versus direct questioning, with the former resulting in more false confessions (combined OR = 3.12, 95% CI 1.37, 7.10); (4) accusatorial‐other versus information‐gathering, with the former resulting in more false confessions (combined OR = 4.67, 95% CI 1.61, 13.55); and (5) information‐gathering versus minimization, with the latter resulting in more false confessions (combined OR = 0.25, 95% CI = 0.08, 0.83). No other combined effects were significant. This model should be interpreted cautiously, however, as the Q statistics raised concerns regarding model consistency.
Authors' Conclusions
Overall, results support calls for reforming policies related to interviewing and interrogation practices to prohibit the use of accusatorial approaches and require the adoption of approaches that are science‐based.
Adopting a meta-analytic approach, this paper provides an enhanced initial understanding of ‘intelligence liaison’ after over 20 years since the pivotable date of 9/11. While highly secretive intelligence liaison has become better understood - thereby enabling communication of further practitioner-relevant insights - discernible limits simultaneously emerge boasting many defence and security implications. Pathways forward for both the study and practice of intelligence liaison exist, with intelligence liaison ‘systems’ and their related ‘enterprises’ to ‘ecosystems’ emerging to the forefront. Indeed, those last areas become worthy of their further consideration and harnessing into the future during an overall era of ‘Intelligence Engineering’.
Keywords: Intelligence Liaison, Intelligence Cooperation, Intelligence Systems, Intelligence Enterprises, Intelligence Engineering
Citation: Adam Svendsen, 'Intelligence Liaison After Over 20 Years Since 9/11 - a Meta-analysis', Social Sciences Research Network - SSRN (December 28, 2023) - via: https://ssrn.com/abstract=4677967 or http://dx.doi.org/10.2139/ssrn.4677967
Amazon’s Mechanical Turk (MTurk) is arguably one of the most important research tools of the past decade. The ability to rapidly collect large amounts of high-quality human subjects data has advanced multiple fields, including personality and social psychology. Beginning in summer 2018, concerns arose regarding MTurk data quality leading to questions about the utility of MTurk for psychological research. We present empirical evidence of a substantial decrease in data quality using a four-wave naturalistic experimental design: pre-, during, and post-summer 2018. During and to some extent post-summer 2018, we find significant increases in participants failing response validity indicators, decreases in reliability and validity of a widely used personality measure, and failures to replicate well-established findings. However, these detrimental effects can be mitigated by using response validity indicators and screening the data. We discuss implications and offer suggestions to ensure data quality.
We sought to identify motivations to resist cooperation in intelligence interviews and develop techniques to overcome this resistance. One source of resistance can arise because of concerns for affiliations (e.g., “I do not want to inform on my friends/family/fellow countryman”). We investigated two avenues of rapport building—approach and avoidance— designed to overcome this concern. In a modified cheating paradigm, our participants (N = 116) became affiliated with a confederate who they then witnessed cheating. Participants were interviewed about the event in a 2 (approach: present vs. absent) 2 (avoid: present vs. absent) design. The interviewer used either an approach technique that aligned them with the interviewer (portrayed as a morally good person) or an avoid technique that moved them away from the culprit (portrayed as nefarious), neither, or both. The approach technique increased rapport between the interviewer and participant. However, the avoid technique decreased the amount information elicited. When submitted to a mediation model, the approach technique had a positive indirect effect on information yield via perceived rapport and cooperation, while this was not the case for the avoid technique. An exploratory moderator analysis revealed that sympathy for the confederate moderated the effect of the avoid technique on information disclosed, where the more sympathy a participant felt for the confederate, the less information he or she provided. Implications for interviewing are discussed.
This field observation examines 58 police interrogators’ rapport-based behaviors with terrorist suspects; specifically, whether rapport helps elicit meaningful intelligence and information. The Observing Rapport-Based Interpersonal Techniques (ORBIT; Alison, Alison, Elntib & Noone, 2012) is a coding framework with 3 elements. The first 2 measures are as follows: (i) 5 strategies adopted from the motivational interviewing (Miller & Rollnick, 2009) literature in the counseling domain: autonomy, acceptance, adaptation, empathy, and evocation and (ii) an “Interpersonal Behavior Circle” (adopted from Interpersonal theories, Leary, 1957) for coding interpersonal interactions between interrogator and suspect along 2 orthogonal dimensions (authoritative-passive and challenging-cooperative); where each quadrant has an interpersonally adaptive and maladaptive variant. The third (outcome) measure of ORBIT includes a measure of evidentially useful information (the “interview yield”) and considers the extent to which suspects reveal information pertaining to capability, opportunity and motive as well as evidence relevant to people, actions, locations and times. Data included 418 video interviews (representing 288 hours of footage), with all suspects subsequently convicted for a variety of terrorist offenses. Structural equation modeling revealed that motivational interviewing was positively associated with adaptive interpersonal behavior from the suspect, which, in turn, increased interview yield. Conversely, even minimal expression of maladaptive interpersonal interrogator behavior increased maladaptive interviewee behavior as well as directly reducing yield. The study provides the first well-defined and empirically validated analysis of the benefits of a rapport-based, interpersonally skilled approach to interviewing terrorists in an operational field setting. (PsycINFO Database Record (c) 2013 APA, all rights reserved)
Substantial research has assessed interrogations seeking to obtain a criminal confession, and consequently much has been learned regarding the potential problems with confession evidence. However, an increasing focus on counter-terrorism, and therefore intelligence interrogations, reveals an obvious gap in the literature. Intelligence interrogations are primarily focused on collecting information from individuals as opposed to a confession linked to an alleged event, and little of the extant psychological literature can speak directly to such a scenario. The current research developed an experimental paradigm to test interrogation approaches in an intelligence-gathering context, providing a method for gathering empirical data on human intelligence collection. In the first implementation of this paradigm, accusatorial and information-gathering interrogation strategies were tested using a procedure high in psychological realism. Results indicate that an information-gathering approach yields more relevant information than an accusatorial approach and leads to more diagnostic impressions by third party observers.
Theoretical writings on trust and interorganizational collaboration have neglected the measurement aspects of trust. Defining trust as an individual′s behavioral reliance on another person under a condition of risk, we developed and tested the construct validity of a questionnaire measure that assessed trust between the individuals who provide the linking mechanism across organizational boundaries, namely, boundary role persons (BRPs). The measure′s hypothesized multidimensionality was examined. The measure was tested in relation to a nomological network comprised of individual-level correlates based on Ajzen and Fishbein′s (1980) theory of reasoned action and dyad-level correlates regarding the longevity of the relationship between BRPs, the anticipated future longevity of their relationship, and their ability to manage conflict. Survey and archival data were used. Support for the measure′s construct validity came from individual-level confirmatory factor analyses. Further support came from analyses of individual-level and dyad-level correlates. Implications for the measure′s use in future theory testing on BRP trust and interorganizational collaboration are discussed.
Past research has revealed significant relationships between organizational justice dimensions and job performance, and trust is thought to be one mediator of those relationships. However, trust has been positioned in justice theorizing in 2 different ways, either as an indicator of the depth of an exchange relationship or as a variable that reflects levels of work-related uncertainty. Moreover, trust scholars distinguish between multiple forms of trust, including affect- and cognition-based trust, and it remains unclear which form is most relevant to justice effects. To explore these issues, we built and tested a more comprehensive model of trust mediation in which procedural, interpersonal, and distributive justice predicted affect- and cognition-based trust, with those trust forms predicting both exchange- and uncertainty-based mechanisms. The results of a field study in a hospital system revealed that the trust variables did indeed mediate the relationships between the organizational justice dimensions and job performance, with affect-based trust driving exchange-based mediation and cognition-based trust driving uncertainty-based mediation.
Most research on trust has taken a static, “snapshot” view; that is, it has approached trust as an independent, mediating, or dependent variable captured by measuring trust at a single point in time. Limited attention has been given to conceptualizing and measuring trust development over time within interpersonal relationships. The authors organize the existing work on trust development into four broad areas: the behavioral approach and three specific conceptualizations of the psychological approach (unidimensional, two-dimensional, and transformational models). They compare and contrast across these approaches and use this analysis to identify unanswered questions and formulate directions for future research.
The trust literature distinguishes trustworthiness (the ability, benevolence, and integrity of a trustee) and trust propensity (a dispositional willingness to rely on others) from trust (the intention to accept vulnerability to a trustee based on positive expectations of his or her actions). Although this distinction has clarified some confusion in the literature, it remains unclear (a) which trust antecedents have the strongest relationships with trust and (b) whether trust fully mediates the effects of trustworthiness and trust propensity on behavioral outcomes. Our meta-analysis of 132 independent samples summarized the relationships between the trust variables and both risk taking and job performance (task performance, citizenship behavior, counterproductive behavior). Meta-analytic structural equation modeling supported a partial mediation model wherein trustworthiness and trust propensity explained incremental variance in the behavioral outcomes when trust was controlled. Further analyses revealed that the trustworthiness dimensions also predicted affective commitment, which had unique relationships with the outcomes when controlling for trust. These results generalized across different types of trust measures (i.e., positive expectations measures, willingness-to-be-vulnerable measures, and direct measures) and different trust referents (i.e., leaders, coworkers).
Behavioural game theory uses experimental regularities and psychology to model formally how limits on strategic thinking, learning, and social preferences interact when people actually play games. Emerging theories of behaviour in ultimatum and trust games (and others) focus on an aversion to inequality, reciprocity, or concern for social image. Learning models often focus on numerical updating of an unobserved propensity to choose a strategy (including fictitious play updating of beliefs as a special case). Models of limits on strategic thinking assume players are in equilibrium, but respond with error, or there is a cognitive hierarchy of increasingly sophisticated reasoning.
Scholars in various disciplines have considered the causes, nature, and effects of trust. Prior approaches to studying trust are considered, including characteristics of the trustor, the trustee, and the role of risk. A definition of trust and a model of its antecedents and outcomes are presented, which integrate research from multiple disciplines and differentiate trust from similar constructs. Several research propositions based on the model are presented.
Although the organisational literature is increasingly converging on common definitions and theoretical conceptualisations of trust, it is unclear whether the same is true for the measures used to operationalise trust. In this paper, we review the organisational literature to assess the degree of sophistication and convergence across studies in how trust has been measured. Our analysis of 171 papers published over 48 years revealed that the state of the art of trust measurement is rudimentary and highly fragmented. In particular, we identified a total of 129 different measures of trust. Moreover, in only 24 instances were we able to verify that a previously developed and validated measure of trust had been replicated verbatim, and 11 of these replications were by the same authors who originated the measure. In addition to the limited degree of replication, the measurement of trust in the organisational literature is characterised by weak evidence in support of construct validity and limited consensus on operational dimensions. What makes these findings even more surprising is that our review also identified several measures of trust that have been carefully developed and thoroughly validated. We profile those measures with strong measurement properties and discuss their trade-offs. We also present a framework for measuring trust that provides guidance to researchers for selecting or developing a measure of trust and propose an agenda for future research with an emphasis on resolving enduring debates in the literature.
People are reciprocal if they reward kind actions and punish unkind ones. In this paper we present a formal theory of reciprocity. It takes into account that people evaluate the kindness of an action not only by its consequences but also by its underlying intention. The theory is in line with the relevant stylized facts of a wide range of experimental games, such as the ultimatum game, the gift-exchange game, a reduced best-shot game, the dictator game, the prisoner's dilemma, and public goods games. Furthermore, it predicts that identical consequences trigger different reciprocal responses in different environments. Finally, the theory explains why outcomes tend to be fair in bilateral interactions whereas extremely unfair distributions may arise in competitive markets.
This research develops and investigates the concept of reciprocal trust between interacting teams. Reciprocal trust is defined as the trust that results when a party observes the actions of another and reconsiders one's trust-related attitudes and subsequent behaviors based on those observations. Twenty-four teams of systems analysis and design students were involved in a 6-week controlled field study focused on the development of an information systems project. Each team was responsible for both developing a system (development role) and for supervising the development of a system by another team (management role). Risk-taking actions exhibited by one team in an interacting pair were found to predict the other team's trustworthiness perceptions and subsequent trust. The level of trust formed in turn predicted the team's subsequent risk-taking behaviors with respect to the other team. This pattern of reciprocal trust repeated itself as the teams continued to interact over the duration of the project, thus supporting our model of reciprocal trust. Findings also indicate that trust and trust formation can occur at the team level. Copyright copyright 2005 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] Copyright of Journal of Organizational Behavior is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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