scholarly journals Job Attribute Preference of Executives: A Conjoint Analysis

2016 ◽  
Vol 12 (2) ◽  
pp. 68
Author(s):  
Shakila Yasmin ◽  
Khaled Mahmud ◽  
Farzan Afrin

<p>This research explores the job attribute preferences of executives in Bangladesh. Unlike most past researches that deployed isolated estimation methods, this research used conjoint analysis, a marketing research tool to measures the relative utilities and trade-off matrices of different job attributes. Data was collected from 140 executive MBA students from a premier business school in Dhaka using a questionnaire presenting an array of hypothetical job offers. Salary &amp; benefit and person-job match are found to be the top two most preferred job attributes. Workenvironment and company- reputation are indicated as the two least important job attributes. Simulation was run to demonstrate the trade-offs people make in their job choice decisions. Case-wise conjoint results show no significant difference among different demographic groups (e.g. married-single, have-don’t have dependents and others) in terms of the order of importance of the job attributes. However, the value of the relative importance was found to be slightly different for different demographic groups.This research is important for academics as it demonstrate a new technique to analyze job attribute preferences. Managers can use the results of this study for designing jobs to attract and retain the best talents of the market. They can use the simulation process demonstrated here for optimizing overall preference of their job offers. </p>

2020 ◽  
Vol 12 ◽  
pp. 150-158
Author(s):  
Vartika Kapoor ◽  
Jaya Yadav

The purpose of this paper is to explore job attribute preferences of students in the media and communication stream. The study is conducted to get an understanding of job expectations of students in the COVID era that can help provide conceptual guidelines to hiring managers in media houses for future planning of manpower/job offers. Based on the conjoint analysis technique, a questionnaire was designed and responses of 152 students of media and communication were recorded from a university in Delhi/NCR. Estimation of preference function was created using orthogonal arrays. Results of this study suggest that job security is the most preferred attribute which influences job choice decisions of students, second preferred attribute being appropriate work hours. The paper presents an important tool that can be of great use for recruitment managers, to understand the psyche of students and their preferences, which may further help in designing appropriate recruitment policies and create job offers that can attract the suitable talent pool. Results also reveal that high compensation package is not the most preferred attribute anymore, perhaps due to the uncertainty of the times. Limitation of this study is that individual behaviour cannot be ascertained through the survey and data from students of different universities can be studied for more robust results. The paper is novel in approach as it empirically identifies the preferred job attributes of media students amid the pandemic situation, by applying conjoint analysis. Therefore, it gives new insights to understand how the pandemic has affected students’ job expectations and decisions.


2010 ◽  
Vol 3 (4) ◽  
pp. 33-42 ◽  
Author(s):  
Danielle N. Rydzewski ◽  
Jacqueline K. Eastman ◽  
Joseph Bocchi

This study examines characteristics important to online MBA students and alumni. The study looks at what characteristics are important in an online MBA Program and if the level of importance of these characteristics varies by demographic variables.  The study focuses on availability, program quality, program length, cost, and courses in the curriculum.  The results suggest that the importance of characteristics in a MBA program falls into three tiers.  The most important characteristic is availability.  The next tier of importance is quality, program length, and cost.  There is no significant difference in importance among these three characteristics, but they are all significantly lower in importance than availability.  The final characteristic is courses as this is rated significantly lower than the other characteristics in terms of importance.  The research also examined if there were differences in importance characteristics by gender, age, years’ work experience and income and found while the basic order rankings were very similar across the different demographic variables, there were a few differences among demographic groups.  Women rated as quality, length, and courses at a higher level of importance than men did.  Finally, those with more years work experience rated availability at a significantly higher level of importance than those with fewer years work experience.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lorena Ronda ◽  
Carmen Abril ◽  
Carmen Valor

PurposeThis research draws upon decision-making theory to study job choice decisions. Past studies measured job choice as a single-stage, compositional process addressing the weights and part-worth utilities of a selected number of job and organizational attributes. However, the presence of noncompensatory attributes and whether the utilities and weights attached to the attributes vary among applicants have not been addressed. The authors posit that a conjoint analysis is an accurate methodological technique to explain job choice and overcome these limitations.Design/methodology/approachUsing a random sample of 571 participants, we conducted an adaptive choice-based conjoint analysis to estimate the weighted utilities of eight employer attributes and a cluster analysis to identify differences in preferences among employee profiles.FindingsThe results reveal that the use of the conjoint technique contributes to the literature in two ways. First, the results demonstrate the relevance of nonnegotiable attributes in the design of job offers. The results show that Salary, Flexibility and Ethics serve as cutoff points. Second, the results highlight the importance of considering the latent preferences of applicants in crafting effective job offers and adequately segmenting job applicants. More specifically, the following three groups are identified: Career-seeking applicants, Sustainability-oriented applicants and Pragmatic applicants.Practical implicationsThe managerial implications of this study are relevant for HR and employer brand managers since a better understanding of the job-choice process and implementing a decompositional method to understand applicants' preferences could allow firms to provide more customized and relevant job offers to employees of interest.Originality/valueThis study concludes that to implement efficient employer-attraction branding strategies, employers should understand the attributes considered noncompensatory by their employee target audience, promote the most valued/important attributes to ensure that job offers are customized to fit employees' underlying preferences, and devise trade-off strategies among compensatory attributes.


2021 ◽  
pp. 1-27 ◽  
Author(s):  
Brandon de la Cuesta ◽  
Naoki Egami ◽  
Kosuke Imai

Abstract Conjoint analysis has become popular among social scientists for measuring multidimensional preferences. When analyzing such experiments, researchers often focus on the average marginal component effect (AMCE), which represents the causal effect of a single profile attribute while averaging over the remaining attributes. What has been overlooked, however, is the fact that the AMCE critically relies upon the distribution of the other attributes used for the averaging. Although most experiments employ the uniform distribution, which equally weights each profile, both the actual distribution of profiles in the real world and the distribution of theoretical interest are often far from uniform. This mismatch can severely compromise the external validity of conjoint analysis. We empirically demonstrate that estimates of the AMCE can be substantially different when averaging over the target profile distribution instead of uniform. We propose new experimental designs and estimation methods that incorporate substantive knowledge about the profile distribution. We illustrate our methodology through two empirical applications, one using a real-world distribution and the other based on a counterfactual distribution motivated by a theoretical consideration. The proposed methodology is implemented through an open-source software package.


2018 ◽  
Vol 1 (02) ◽  
pp. 7
Author(s):  
Mohammad Wartaka

The need for lipstick continues to increase along with the emergence of a new lipstick products both domestic and global brands to follow the needs of its consumers, the new product has a variety of functions other than just as a lip color, but also as a moisturizer / lip protection even as treatment. Adult lipstick is packed with advertisements and packaging are very interesting addition to the color choice of more and more. In determining the selection of lipstick products consumers often consider the combination of the main attributes and other factors that are trade-offs. This study aims to determine the attributes and combination of attributes among the most preferred by consumers for a segment of the age and the amount of income. Sources of data in this study were obtained from 138 respondents in the city of Bogor and its surroundings, conjoint analysis is used to determine the usefulness of each attribute and their relative weights as a tool to predict the preferences of a particular segment or as a whole. The results showed the order of importance weight according to the respondents is that the quality attributes (34.95%), the type of color (33.21%) and benefits (31.84%), while the combination of the most preferred products are: lipstick durable / waterproof, according to skin color, and functioning for moisturizing / protective lip. In the description also delivered conjoin analysis results for each age and income segments.


2018 ◽  
Vol 104 (2) ◽  
pp. 121-123 ◽  
Author(s):  
Robin D Marlow ◽  
Dora L B Wood ◽  
Mark D Lyttle

ObjectiveEstimating weight is essential in order to prepare appropriate sized equipment and doses of resuscitation drugs in cases where children are critically ill or injured. Many methods exist with varying degrees of complexity and accuracy. The most recent version of the Advanced Paediatric Life Support (APLS) course has changed their teaching from an age-based calculation method to the use of a reference table. We aimed to evaluate the potential implications of this change.MethodUsing a bespoke online simulation platform we assessed the ability of acute paediatric staff to apply different methods of weight estimation. Comparing the time taken, rate and magnitude of errors were made using the APLS single and triple age-based formulae, Best Guess and reference table methods. To add urgency and an element of cognitive stress, a time-based competitive component was included.Results57 participants performed a total of 2240 estimates of weight. The reference table was the fastest (25 (22–28) vs 35 (31–38) to 48 (43–51) s) and most preferred, but errors were made using all methods. There was no significant difference in the percentage accuracy between methods (93%–97%) but the magnitude of errors made was significantly smaller using the three APLS formulae 10% (6.5–21) compared with reference table (69% (34–133)) mainly from month/year table confusion.ConclusionIn this exploratory study under psychological stress none of the methods of weight estimation were free from error. Reference tables were the fastest method and also had the largest errors and should be designed to minimise the risk of picking errors.


2017 ◽  
Vol 12 (1) ◽  
pp. 35
Author(s):  
Hasan Mastrisiswadi ◽  
Herianto Herianto

Robot rehabilitasi pasien pasca stroke saat ini telah dikembangkan oleh negara-negara maju di dunia, tidak terkecuali Indonesia meskipun sebagai negara berkembang. Salah satu pengembang robot rehabilitasi pasien pasca stroke itu berada di Universitas Gadjah Mada yang telah melakukan penelitian beberapa tahun ini. Penelitian ini bertujuan untuk mengidentifikasi kepentingan relatif konsumen terhadap robot rehabilitasi pasien pasca stroke untuk kemudian digunakan sebagai bahan masukan dalam pengembangan robot selanjutnya. Metode yang digunakan dalam penelitian ini adalah Conjoint Analysis. Metode ini memiliki keunggulan dalam menganalisis trade off antar atribut. Dari hasil pengolahan Conjoint Analysis dengan bantuan program SPSS, dapat diketahui bahwa kebutuhan konsumen paling tinggi terhadap robot rehabilitasi pasien stroke adalah  dapat dipasangkan ke tangan pasien dengan mudah, baru setelah itu kemampuannya untuk dipakai di kedua tangan (kanan dan kiri) dan material yang digunakan dalam pembuatan robot haruslah aman bagi pasien.AbstractPost-stroke rehabilitation robot has been developed in the world, including Indonesia as a developing country. One of this robot developers is Universitas Gadjah Mada who has conducted research for post stroke rehabilitation robot in recent years. This study aims to identify the consumer’s relative importance of the  post-stroke rehabilitation robot that can be used for the next robot development. The method used in this study is Conjoint Analysis. This method has the advantage in analyzing trade-offs between attributes. From this research, we have known that the highest rank of the robot consumer needs are: can be attached to the patient's hand with ease, the ability to be used in both hands (right and left) and the movement of the robot which can be varied according to the needs of the patient.


1995 ◽  
Vol 59 (1) ◽  
pp. 17-28 ◽  
Author(s):  
Amy Ostrom ◽  
Dawn Lacobucci

The evaluation of services by consumers in terms of service attributes that should have an impact on judgments as well as the nature of the judgments themselves are investigated. A conjoint analysis is used to examine subjects’ utilities for service alternatives that differ in terms of price, level of quality, friendliness of the service personnel, and the degree of customization of the service. The impact on subjects’ utilities was studied in relation to several factors, including the type of service industry being evaluated (i.e., experience or credence services); the criticality of the service situation (i.e., high or low importance that the service be executed well); and the type of evaluative judgment asked of the respondent (i.e., ratings of subjects’ anticipated satisfaction, value, or likelihood of purchase). The results indicate that all service attributes are important to consumers and that their importance varies with the mediating factors. For example, consumers are price sensitive for less critical purchase situations, whereas quality is more important for credence services. The findings allow for a parsimonious theoretical explanation based on risk and the clarification of some constructs in the area of consumer evaluations.


1999 ◽  
Vol 15 (3) ◽  
pp. 443-457 ◽  
Author(s):  
Mandy Ryan

The aim of this paper is to demonstrate the use of conjoint analysis (CA) in health services research. Conjoint analysis is first explained, with emphasis on the history of the technique, followed by an explanation of how to carry out such a study and how the results from such a study can be used. The technique is demonstrated with reference to a study that looks at the benefits of in vitro fertilization. It is shown how CA can be used to estimate the relative importance of attributes, the trade-offs individuals make between these attributes, willingness to pay if cost is included as an attribute, and utility or benefit scores for different ways of providing a service. The paper then considers the potential advantages of CA over other, more commonly used benefit assessment instruments. Finally, there is discussion of the issues raised in the design and analysis of CA studies. It is concluded that these issues must be addressed before the technique becomes an established instrument for technology assessment.


2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Rafi Fredman ◽  
Cindy Wu ◽  
Mihaela Rapolti ◽  
Daniel Luckett ◽  
Jason Fine ◽  
...  

Abstract Background Direct-to-implant (DTI) breast reconstruction provides high-quality aesthetic results in appropriate candidates. Most commonly, implants are placed in the subpectoral space which can lead to pain and breast animation. Surgical and technological advances have allowed for successful prepectoral implant placement which may eliminate these trade-offs. Objectives Here we present early outcomes from 153 reconstructions in 94 patients who underwent prepectoral DTI. We sought to determine whether these patients have less postoperative pain and narcotic use than subpectoral implant or expander placement. Methods A retrospective review was performed for all prepectoral DTI reconstructions at our institution from 2015 to 2016. Data were collected on postoperative pain and narcotic use while in hospital. Results The average follow-up time was 8.5 months (range, 3–17 months) and the overall complication rate was 27% (n = 41) with the most common complications being skin necrosis (9%, n = 13) and infection (7%, n = 11). No statistically significant difference in complications was found in patients who underwent postmastectomy radiation therapy. Patients who underwent prepectoral DTI reconstruction did not have a statistically significant difference in postoperative pain and narcotic use while in-hospital compared with other techniques. Conclusion Prepectoral DTI reconstruction provides good results with similar complication rates to subpectoral techniques. Prepectoral DTI eliminates the problem of breast animation. Although our series did not reach statistical significance in pain scores or requirement for postoperative narcotics, we believe that it is an important preliminary result and with larger numbers we anticipate a more definitive conclusion. Level of Evidence: 4


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