Monday, June 21, 2021

How job seekers’ social media profiles affect employability: Evidence from a research study

 

Social media plays an increasingly important role in recruitment and employee selection. Recruiters are tempted to check on job candidates’ social media profiles (SMPs) because SMPs could reveal more dynamic information about the candidates than their resumes alone. 

By checking the candidates’ SMPs, recruiters can discover their real personality, which cannot be easily achieved even through job interviews. Meanwhile, hiring managers can also assess job candidates’ social capital based on the size and the composition of their social networks.  

The study

 

To investigate how social media may affect recruiters’ hiring decisions, Antonio Muñiz, who graduated from the master’s program at the Collins College of Hospitality Management, Cal Poly Pomona, and I conducted a qualitative study together. We published our work in the Journal of Hospitality and Tourism Management. This research answers:     

The two research questions

 

  1. What information or job candidate’s personality traits revealed on their SMPs gets the hiring managers’ attention?  
  2. How do such information or job candidates’ personality traits revealed on their SMPs affect managers’ hiring decisions?

 

The research method

 

We conducted 11 semi-structured interviews in 2018 with 11 managers in major hospitality companies, representing the restaurant, hotel, country club, even planning, and managed foodservice sectors. On average, these 11 managers had 19 years of work experience in the hospitality industry. They made hiring decisions, ranging from hiring two to 18 candidates a month. Following the suggestions of ensuring a qualitative study’s trustworthiness, we firstly recorded and transcribed the interviews. We then performed a content analysis of the qualitative data. Finally, we reported the narrative results with direct quotes from the informants. 

 

Finding 1: The recruiting channels and legal considerations

 

The informants rated Indeed and LinkedIn the preferred websites for recruitment and selection. Surprisingly, none of them were aware of any policies issued by their companies about using social media in screening and selection. Many informants also held reservations about using social media in screening because of privacy concerns, the uncertainty of the information revealed from the candidates’ SMPs, legal compliance, and time constraints. 

 

Finding 2: LinkedIn is the preferred platform

 

About half of the informants used LinkedIn in screening. Only one informant admitted that s/he screened candidates’ other SMPs besides LinkedIn. That is, s/he also looked at candidates’ posts, videos, and pictures on Facebook, Twitter, and Instagram. 

 

Finding 3: The preferable content on social media

 

Most informants favored pictures about food, catering, and events, news articles, and organizational social activities. Having a clear headshot/smiling, professional/appropriate content, positive/motivational content, and activities in general were mentioned once or twice only. 

 

Finding 4: The unfavorable content on social media

 

Inappropriate language or content, negative posts, personal information on LinkedIn, and anything discriminatory came to the top. 

 

Finding 5: The influential traits that may affect recruiters’ hiring decisions

 

Of the Big Five personality traits, hospitality managers looked for extroversion, conscientiousness, and agreeableness. Additionally, leadership potentials, professionalism, a good match, the current position held, as well as skills and endorsements, can be influential. 

 

Finding 6: How candidates’ SMPs affect employability

 

Unfavorable content seemed to have a more substantial influence than favorable content. As far as a candidate’s starting salary is concerned, the informants only factored in the candidates’ skills and experience. 

 

The implications

 

Besides the research’s theoretical contributions, the findings provide helpful, practical implications for businesses, hiring managers, job seekers, and career counselors. We recommend: 

 

  • Organizations should develop clear guidelines about using social media in recruitment and selection. 
  • For a minimum, Organizations must provide guidelines or assessment rubrics that are specific to LinkedIn. 
  • Hiring managers are advised to follow the company’s guidelines and policies if provided. 
  • Hiring managers need to justify why and how SMPs are used in screening if no guidelines or policies are provided. 
  • Job seekers are highly encouraged to build a complete LinkedIn profile with a professional picture that projects their personality. 
  • Job seekers may consider sharing favorable content and should avoid the unfavorable content on their SMPs. 
  • If possible, job seekers should have their LinkedIn profile and other SMPS critiqued by their friends, co-workers, and career advisors, as what they would do on their resumes and other application materials. 
  • Career counselors should teach job seekers how to build professional SMPs, with specific examples of how they may strategically display the desired content favored by recruiters. 

 

Do job seekers need even more impeccable social media profiles during the pandemic? 

 

This study was conducted in 2018 before the pandemic hit the economy with numerous long-term effects. Nevertheless, I expect that job seekers’ SMPs may play an even more significant role in influencing recruiters’ hiring decisions for two reasons. On the one hand, more people are forced to leave their jobs, making it more challenging to secure a job offer in a competitive job market. On the other hand, more companies let their employees work from home permanently. The traditional screening methods, such as face-to-face job interviews in the workplace, may no longer be an option for hiring managers. 

 

Back in May 2020, it is reported that 84% of recruiters were adapting to new hiring practices that facilitate remote exchanges. Among them, 58% used LinkedIn, Facebook, and even Instagram to connect with potential hires. It is also believed that job candidates’ digital presence will matter even more in 2021 and beyond. 

 

Lastly, it is important to note that the above results were generated from 11 qualitative interviews. Although we took careful measures to ensure this qualitative inquiry’s trustworthiness, the results may not be generalized in other settings. Instead, this study’s strength relies on its in-depth, narrative results reported by those purposefully selected informants who have abundant first-hand experience of screening job candidates. 


Do you believe that people’s digital reputation is critical in a job search? How important are job candidates’ SMPs in helping them secure a job offer? 


Note: This post is also available on MultiBriefs.com; the picture was downloaded from ConstructionExec.com

Wednesday, July 29, 2020

The 7 Ps marketing mix of home-sharing services: What did the 1 million Airbnb reviews inform us?

The 7 Ps marketing mix framework is a widely used managerial tool that helps businesses identify the principal components of a service product. The 7 P elements include Product, Promotion, Price, Place, Participant, Physical Evidence, and Process.

The 7 Ps framework can assist marketers in making decisions regarding segmentation, positioning, and differentiation. Even for the same type of products with different brands, marketers can still drive higher sales through the improvement of a product’s marketing mix.  

The empirical study about 7 Ps of home-sharing services

Building upon the 7 Ps marketing mix framework, I led a research team in a big-data, supervised machine learning analysis of over 1.14 million English reviews of 37,092 Airbnb listings in San Francisco (SFO) and New York City (NYC). We aimed to discover new meaningful business intelligence through the analysis of an immense quantity of online review information that is created by consumers in the cyber marketplace.

We published the research in the International Journal of Hospitality ManagementThe report can also be accessed in the Elsevier Public Health Emergency Collection.  

7 Ps marketing mix of home-sharing services

The three research questions of the study

1.    What does the marketing mix revealed from consumers’ online review data on Airbnb inform us about travelers’ experience of home-sharing products?

2.    Do travelers comment on the similar element(s) of the marketing mix for their home-sharing stays with multi-unit and single-unit hosts? In other words, do travelers share similar experiences for their home-sharing stays with multi-unit vs. single-unit hosts through a comparison of the two product types’ marketing mix?

3.    Do travelers comment on the similar element(s) of the marketing mix for their home-sharing stays with superhosts and ordinary hosts? In other words, do travelers share similar experiences for their home-sharing stays with superhosts vs. ordinary hosts through a comparison of the two product types’ marketing mix?

The data and the analysis

We downloaded the data from InsideAirbnb.com, an independent, non-profit website that provides publicly accessible data collected from Airbnb.com. We picked SFO, for its being a gateway city in the West Coast and Airbnb’s birthplace, as well as NYC, for its being a gateway city in the East Coast and a top tourist destination. We downloaded 233,070 reviews of 4,381 Airbnb listings in SFO and 1,047,337 reviews of 32,985 Airbnb listings in NYC in September/October 2018.

We then cleaned the dataset by removing all non-English reviews, retrieving 94.3% (219,833) and 88.6% (928,229) of the reviews that were written in English from the SFO and NYC markets, respectively. We used a sentence as a unit for data annotation under the assumption that people usually express one idea in one sentence.

Through a series of preliminary analyses, we concluded that most sentences expressed one of the elements in our coding schema, with about 3% of the sentences mentioned two or more of the elements. In the cases when a sentence can be labeled with more than one element, the most probable element was used in our analysis.  

7 Ps marketing mix as the coding schema

We trained the model to annotate the sentences using the following coding schema before we applied the validated algorithms to analyze the whole dataset.

·      Service Product (PT) – words that describe the overall impression of the intangible experiential product, e.g., “A great experience.”
·      Price (PR) – words that indicate the price or value of the experiential product, e.g., “Rather than renting two hotel rooms, we split this 2-bed Airbnb and probably saved $300 per night.”
·      Place (PL) – words referring to the location of a listing, e.g., “Short walk to the Bart station.”
·      Promotion (PO) – words comparing what the traveler(s) observed against a listing’s photos or descriptions on the website, e.g., “The place was exactly as advertised!”
·      Participant (PP) – words mentioning the host(s) or people/pets in the listing, e.g., “The hosts were also extremely friendly and accommodating.”
·      Physical Evidence (PE) – words that describe the tangible aspect of the experiential product, such as the physical attributes and the facility of a listing, e.g., “Details like flowers, wine openers, britta water pitcher, shampoo, added to our relaxation.”
·      Service Process (PS) – words that emphasize the process where the traveler(s) received a service, with or without the interactions with the host, e.g., “[host name] left detailed instructions for us upon our arrival.”
·      Traveler (TR) – words that are irrelevant to the experiential product (Airbnb) itself, e.g., “We had ice cream for dessert two night in a row (Bi-Rite! The Best!) and walked home with our cones feeling very happy indeed.”  

The results

Travelers in both markets mentioned PT (about 26%) and PE (about 25%) most often, followed by PL (at about 19%) and PP (at about 15%). PS (less than 10%) was usually about the check-in process and how the hosts handled customer service issues. Travelers seldom talked about PO (about 2%) and PR (about 1%).

Research question two is to compare travelers’ experiences between multi-unit and single-unit hosts. We found almost no observable differences except that travelers would mention the hostnames more often for single-unit hosts. Such a finding suggests that multi-unit hosts are as competitive as single-unit hosts. Hoteliers should pay close attention to multi-unit hosts in the market because they are the micro-entrepreneurs and professional operators of home-sharing services.

Research question three is about the differences between superhosts and ordinary hosts. On average, listings managed by superhosts recorded more reviewers than the ones managed by ordinary hosts, a good indicator that travelers favor listings managed by superhosts. Travelers staying in the listings managed by superhosts commented more on their wonderful experience (PT) and the hosts (PP). In contrast those staying in the listings managed by ordinary hosts commented more on the physical evidence (PE) and the location (PL). Possibly, when travelers do not have as much to talk about PT and PP for ordinary hosts as they would for superhosts, they comment more on PE and PL instead.

COVID-19’s possible impacts on the research findings

COVID-19 is expected to change how people travel, and it will take a long time before we see a real recovery. Now more than ever, hygiene and cleanliness have become the top priority among consumers, hotels, and tourism companies. Travelers’ emphasis on the 7 P elements could have shifted in the post-COVID-19 era, such as about the upkeep and cleanliness of a place (PE) and avoiding direct human contacts (PP & PS).

The implications

Besides this study’s theoretical and methodological contributions, the results provide valuable insights for the hosts who want to compete with the superhosts. Meanwhile, hoteliers may refer to our findings as they seek improvement of their existing products or want to differentiate their products from home-sharing services. Lastly, we recommend the policymakers to consider restricting the professional operators or multi-unit hosts in the short-term residential rental market. 

What do you think about the research findings? To what extent does the 7 Ps marketing mix reflect travelers’ experiences of home-sharing services?

Note: This viewpoint article was also published on MultiBriefs.com; The first picture was downloaded from BibleMoneyMatters.com

Saturday, December 9, 2017

CHRS 2017: Opportunities in the era of disruption


I was in Ithaca, New York, last week for the 2017 Cornell Hospitality Research Summit(#CHRS2017), where a good mix of industry professionals and academic researchers shared their viewpoints on the outlooks of the hospitality business and findings of relevant research.
This year, the conference's theme was "opportunities in the era of disruption."

So, what are the disruptions?

In fact, the hospitality industry is constantly facing challenges from disruptions. In today's economy, the following appears to be more salient:

Remain positive when facing the disruptions

Shall we worry about the future because of these disruptions? We could, but feeling worrisome would not help business. Positive thinking is perhaps the only remedy to deal with challenges.
"Disruptions create opportunities," suggested Arthur Adler, the managing director and chairman of the Americas division of Jones Lang LaSalle's (JLL) Hotels and Hospitality Group, in the keynote opening session at #CHRS2017.
By reviewing the history of how the hotel business has evolved over time, Adler concluded that disruptions brought innovations to the industry (e.g., making reservations on the phone vs. on the internet). Rather than feeling worried about the future, we should all react to the new opportunities identified in the era of disruption.

New opportunities in the era of disruption

All attendees in the conference seemed to hold positive attitudes toward the disruptions. Particularly, the industry is highly encouraged to look at the following areas:
  • Rethink guest experience and be innovative in product offerings.
  • Utilize space more efficiently. For example, can a hotel's lobby or meeting space be "shared" as what is in the room-sharing and ride-sharing business?
  • How can technology be used in providing customized service? For example, use AI and machine learning to predict guest preference.
  • How can technology be better utilized in daily operations (e.g., making improvements in revenue management and productivity among staff members)?
  • What can we learn from the room-sharing business?
  • How can blockchain technology be used in the hospitality industry?
  • What proactive approaches can be taken in sustainability? A good example in case is that the Romantik Hotel Muottas Muragl is running a lodging business in a "plus energy building," meaning a building is so energy-efficient that it generates more energy than it consumes.
Do you agree that opportunities are often associated with risks, or disruptions in this case? What opportunities do you see in the era of disruption?
Note: This post is also available on MultiBrief.com; The picture was downloaded from the Twitter account of The Hotel School at Cornell University. 

Thursday, August 17, 2017

7 technologies that will transform the hospitality industry by 2025

I was in Baltimore last week for the annual iCHRIE (International Council on Hotel, Restaurant and Institutional Education) Conference, where hospitality professors and graduate students got together to showcase their research work and network with one another. Additionally, selected executives in major hospitality firms were invited to share their perspectives about the industry and their views on the future trends.
For example, Mike Webster, the senior vice president and general manager at Oracle Retail & Oracle Hospitality, spoke in the opening general session at the conference. He believed that by 2025, the following technologies would make transformational changes to the hospitality industry:

1. Wearables

Smartwatch sales in the global market hit a record high in the last quarter of 2016, at 8.2 million for the quarter and 21.1 million for the calendar year. Experts predict wearable tech will make transformational changes in the sport and fitness sector. Will wearable tech also transform how we run business in the hospitality and tourism industry?
Take the MagicBands at Disney, for example. Not only do they enable guests to enter the theme parks, purchase food and merchandise, and enjoy the FastPass+ access, but travelers can also skip the check-in line and unlock their hotel rooms with the MagicBands at the Disney resorts.
Disney will even ship the MagicBands to their guests before their arrivals. When guests link their accounts with the MagicBands, Disney can store their activities and preferences in the database to build a stronger customer relationship over time, of which the information can also be used to develop customized sales and promotion packages to the guests.

2. Facial recognition

It is not a new idea for hotels to let guests use their mobile devices as room keys. With the advance of facial recognition technology, travelers can possibly skip the front desk without carrying any mobile devices; they can access their guestrooms by just showing up.
Certainly, the advance of facial recognition technology can also make it easier for restaurants, hotels and resorts to track and analyze travelers' activities inside the facility.
In addition to their potential of enhancing customer service, wearable and facial recognition technologies can be used to improve back-of-the-house operations as well. For example, employees may use wearable devices and facial recognition technology in clock-ins and clock-outs. The data that is recorded about employees' activities at work can also be used by the management in scheduling and job designs.

3. Voice activation

Aloft Hotels, a Marriott/Starwood brand, recently unveiled voice-activated hotel rooms in Boston and Santa Clara. In a voice-activated room, guests can control the room temperature, adjust the lighting, choose what type of music they want to play in the room, and explore local attractions by talking to the room.

4. 3-D printing

The idea of using 3-D printing in construction has been tested for years. It may not seem real for a 3-D printer to create a skyscraper at this point, but it is now possible to construct a hotel room or at least, part of a hotel room with a 3-D printer.
As a matter of fact, Marriott has adopted the modular construction method to support its need for rapid growth.
Modular construction allows Marriott to build parts of the guestroom, such as the bathroom, somewhere else other than on the construction site of the hotel. When building a hotel, Marriott only needs to ship the ready-to-install bathrooms and other necessary parts of the guestrooms to the construction site. All it takes to build a hotel is to assemble the parts onsite.
The modular construction method and 3-D printing technology can hence be combined to speed up the time of building a new hotel.

5. Automatic or robotic services

Today, more service jobs are performed by machines than ever before. We have seen restaurants with no hosts, no waiters and no tables; robots are cooking food in the kitchen; and restaurant food is delivered by robots.
In the hotel industry, robotic butler service has also been introduced. There are also hotels testing automatic drink dispenser in events and guestrooms.

6. Artificial intelligence

Artificial intelligence allows machines to "think" like a real human being. Artificial intelligence will then enable a service provider to anticipate customers' needs even in automatic or robotic services.

7. Virtual reality

A few years ago, Marriott was experimenting with VR technology in operations, such as in sales and marketing. The hotel chain allowed guests to use VR to experience the Marriott products in selected world destinations. Likewise, Disney is planning to use VR to enhance consumers' experience in the theme parks and in video games.

A concluding remark

There is no doubt that the advance of technology will transform the way we run a hospitality business. Some jobs will be replaced by machines, but additional opportunities can also be created for those who are well-prepared for the changes.
Moreover, while the seven technologies listed above were suggested by Webster in the opening session at the conference, I elaborated upon his key points with specific examples I have observed in service operations. Hence, this is not intended to be a summary of his speech. Rather, I am hoping to get your input based on my own interpretations of Webster's ideas.
Do you also believe these technologies will soon transform the hospitality industry? If so, in what way? Are there other technologies that would also make transformational impacts to the hospitality industry by 2025 but have not been discussed in this post?
Note: This article was also published at MultiBriefs.com - the leading source for targeted, industry-specific news briefs. The picture was also downloaded from MultiBriefs.com

Tuesday, May 30, 2017

Consumers' path of purchasing a travel product



Hotels have been working hard to win more travelers to "book direct" on their companies' websites, but are consumers listening?
In fact, hotels are not alone. All service providers in the hospitality and tourism industry want their customers to make purchases directly on their websites, but consumers want to search and compare various options before making a decision.
So, to convince customers to purchase directly on the service providers' websites, companies must understand where their customers "hang out" in the cyber marketplace before they make the purchasing decision, as well as where they end up buying their services.
The white paper "Understanding the Travel Consumer's Path to Purchase" by Eye for Travel provides some business intelligence in that regard. The report combined a large panel consumer data of online transactions and surveys into the analysis, revealing the following results:

The places where customers purchase a travel product

With an analysis of about 200,000 bookings in the U.K. and the U.S., online travel agents (OTAs) such as Expedia and Priceline are winning big in the competition.
In the U.S. market, 42 percent of purchases came from OTAs, leaving 39 percent for airline brands and 19 percent for hotel brands. In the U.K. market, 73 percent of purchases came from OTAs, 23 percent from airline brands and only 4 percent from hotel brands.

The devices used for buying the travel product

Devices being used for hotel reservations:
  • Desktop or laptop (49.9 percent from the U.K. sample / 62.1 percent from the German sample)
  • Face-to-face (6.1 percent / 11 percent)
  • Tablet browser (17.3 percent / 5.5 percent)
Devices being used for flight bookings:
  • Desktop or laptop (51 percent from the U.K. sample / 56.1 percent from the German sample)
  • Face-to-face (9.3 percent / 20.1 percent)
  • Tablet browser (15.2 percent / 4.4 percent)
Desktops or laptops remain the most-used devices for making a purchase, and desktops have higher conversion rates for all OTAs, all airline brands and all hotel brands than mobile devices. But before consumers make a purchase, let's also check out ...

The devices used for browsing before making a purchase

  • 80.7 percent of those who used desktops or laptops to search also used the same device to book.
  • 63.8 percent of those who used tablets to search also used tablets to book; 21.3 percent of those who used tablets to search ended up using desktops or laptops to book.
  • 36.2 percent of those who used smartphones to search would use desktops or laptops to book; about the same percentage, 35.1 percent, of those who used smartphones to search also used smartphones to book.

The websites visited before making a purchase

For a purchase on OTAs, about 90 percent used search engines, about 75 percent visited the OTA site prior to conversion, and about 25 percent visited the competitor OTA sites prior to conversion.
For a purchase on an airline website: about 90 percent visited search engines, between 69 and 84 percent visited the airline website prior to conversion (across three samples of the U.S., the U.K., and Germany). Depending on the regions of where the customers came from, over 20 percent also visited a social media site such as Facebook or Twitter (U.S.), a meta-search site such as Kayak or Trivago (U.K.), or an OTA site (U.K. and Germany).
For a purchase on a hotel website: about 90 percent used search engines, about 70 percent visited the hotel website prior to conversion, and about 20 percent visited an OTA site.

Where do smartphones fit in?

It seems smartphones played a more significant role in both the researching and purchasing processes for consumers in less developed countries than those in developed countries. For example, 66 percent of Indians accessed travel websites with mobile devices, but only 34 percent of them used desktops. In the U.S., such percentages changed to 54 percent for using mobile devices and 46 percent for using desktops.
Not surprisingly, a large percentage of consumers aged between 18 and 34 owned at least one smartphone. For example, 85 percent of Chinese aged between 18 and 34 owned at least one smartphone, but only 43 percent of Chinese aged 35 or above used smartphones.
Another good example came from the U.K. consumers aged between 18 and 35. When asked if they researched and/or booked air travel on a smartphone in the past, over 90 percent of participants said so. Specifically,
  • 23.4 percent always booked flights on a smartphone.
  • 22.9 percent regularly booked flights on a smartphone.
  • 21.8 percent occasionally booked flights on a smartphone.
  • 22.1 percent researched flight information using a smartphone even though they did not book with a smartphone.

What are the next big things?

The top two "game-changing" factors in the industry were mentioned:
  • Data-driven personalization (78 percent of participants being surveyed)
  • API-led (application programming interface) distribution partnership (14 percent)
The top three areas for future opportunities include:
  • Mobile (79 percent from European respondents / 74.7 percent from North American respondents)
  • Content and digital marketing (58.8 percent / 65.3 percent)
  • Social media (35.3 percent / 50 percent)
Other possibilities or opportunities may include:
  • Will search engines become the next big player in selling travel products? Many consumers have already been using search engines to research products, so why can't Google Travel or Bing Travel become the next big thing?
  • Can Facebook get into the game, too? Facebook has tried to let its users make purchases on a business's page, rate a business or service and make recommendations of purchases for their friends. Most of all, the hospitality and tourism industry is too big to be ignored.
  • Will Apple try Apple Travel, too? At least, Apple can easily reach all the Apple users.
  • Will WeChat dominate the Chinese marketing in selling travel products? I tried to make hotel reservations on WeChat because I could not find good internet connections when I was traveling in mainland China, and WeChat became very handy.
Now, do you have a better idea of where travel or hospitality companies can reach their target customers in the cyber marketplace? Tell us what else you want to know. Your voice could inspire the next big research project.
This post was also published on MultiBriefs Exclusive, the leading source for targeted, industry-specific news briefs.